Upload folder using huggingface_hub
Browse files- .gitattributes +1 -0
- README.md +592 -0
- chat_template.jinja +126 -0
- config.json +66 -0
- generation_config.json +7 -0
- model-00001-of-00006.safetensors +3 -0
- model-00002-of-00006.safetensors +3 -0
- model-00003-of-00006.safetensors +3 -0
- model-00004-of-00006.safetensors +3 -0
- model-00005-of-00006.safetensors +3 -0
- model-00006-of-00006.safetensors +3 -0
- model.safetensors.index.json +593 -0
- processor_config.json +42 -0
- tokenizer.json +3 -0
- tokenizer_config.json +2023 -0
.gitattributes
CHANGED
|
@@ -33,3 +33,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
|
|
| 33 |
*.zip filter=lfs diff=lfs merge=lfs -text
|
| 34 |
*.zst filter=lfs diff=lfs merge=lfs -text
|
| 35 |
*tfevents* filter=lfs diff=lfs merge=lfs -text
|
|
|
|
|
|
| 33 |
*.zip filter=lfs diff=lfs merge=lfs -text
|
| 34 |
*.zst filter=lfs diff=lfs merge=lfs -text
|
| 35 |
*tfevents* filter=lfs diff=lfs merge=lfs -text
|
| 36 |
+
tokenizer.json filter=lfs diff=lfs merge=lfs -text
|
README.md
ADDED
|
@@ -0,0 +1,592 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
---
|
| 2 |
+
library_name: vllm
|
| 3 |
+
language:
|
| 4 |
+
- en
|
| 5 |
+
- fr
|
| 6 |
+
- es
|
| 7 |
+
- de
|
| 8 |
+
- it
|
| 9 |
+
- pt
|
| 10 |
+
- nl
|
| 11 |
+
- zh
|
| 12 |
+
- ja
|
| 13 |
+
- ko
|
| 14 |
+
- ar
|
| 15 |
+
license: apache-2.0
|
| 16 |
+
inference: false
|
| 17 |
+
base_model:
|
| 18 |
+
- mistralai/Ministral-3-14B-Reasoning-2512
|
| 19 |
+
extra_gated_description: >-
|
| 20 |
+
If you want to learn more about how we process your personal data, please read
|
| 21 |
+
our <a href="https://mistral.ai/terms/">Privacy Policy</a>.
|
| 22 |
+
tags:
|
| 23 |
+
- mistral-common
|
| 24 |
+
- unsloth
|
| 25 |
+
---
|
| 26 |
+
<div>
|
| 27 |
+
<p style="margin-top: 0;margin-bottom: 0;">
|
| 28 |
+
<em><a href="https://docs.unsloth.ai/basics/unsloth-dynamic-v2.0-gguf">Unsloth Dynamic 2.0</a> achieves superior accuracy & outperforms other leading quants.</em>
|
| 29 |
+
</p>
|
| 30 |
+
<div style="display: flex; gap: 5px; align-items: center; ">
|
| 31 |
+
<a href="https://github.com/unslothai/unsloth/">
|
| 32 |
+
<img src="https://github.com/unslothai/unsloth/raw/main/images/unsloth%20new%20logo.png" width="133">
|
| 33 |
+
</a>
|
| 34 |
+
<a href="https://discord.gg/unsloth">
|
| 35 |
+
<img src="https://github.com/unslothai/unsloth/raw/main/images/Discord%20button.png" width="173">
|
| 36 |
+
</a>
|
| 37 |
+
<a href="https://docs.unsloth.ai/">
|
| 38 |
+
<img src="https://raw.githubusercontent.com/unslothai/unsloth/refs/heads/main/images/documentation%20green%20button.png" width="143">
|
| 39 |
+
</a>
|
| 40 |
+
</div>
|
| 41 |
+
</div>
|
| 42 |
+
|
| 43 |
+
|
| 44 |
+
# Ministral 3 14B Reasoning 2512
|
| 45 |
+
The largest model in the Ministral 3 family, **Ministral 3 14B** offers frontier capabilities and performance comparable to its larger [Mistral Small 3.2 24B](https://huggingface.co/mistralai/Mistral-Small-3.2-Instruct-2506) counterpart. A powerful and efficient language model with vision capabilities.
|
| 46 |
+
|
| 47 |
+
This model is the reasoning post-trained version, trained for reasoning tasks, making it ideal for math, coding and stem related use cases.
|
| 48 |
+
|
| 49 |
+
The Ministral 3 family is designed for edge deployment, capable of running on a wide range of hardware. Ministral 3 14B can even be deployed locally, capable of fitting in 32GB of VRAM in BF16, and less than 24GB of RAM/VRAM when quantized.
|
| 50 |
+
|
| 51 |
+
## Key Features
|
| 52 |
+
Ministral 3 14B consists of two main architectural components:
|
| 53 |
+
- **13.5B Language Model**
|
| 54 |
+
- **0.4B Vision Encoder**
|
| 55 |
+
|
| 56 |
+
The Ministral 3 14B Reasoning model offers the following capabilities:
|
| 57 |
+
- **Vision**: Enables the model to analyze images and provide insights based on visual content, in addition to text.
|
| 58 |
+
- **Multilingual**: Supports dozens of languages, including English, French, Spanish, German, Italian, Portuguese, Dutch, Chinese, Japanese, Korean, Arabic.
|
| 59 |
+
- **System Prompt**: Maintains strong adherence and support for system prompts.
|
| 60 |
+
- **Agentic**: Offers best-in-class agentic capabilities with native function calling and JSON outputting.
|
| 61 |
+
- **Reasoning**: Excels at complex, multi-step reasoning and dynamic problem-solving.
|
| 62 |
+
- **Edge-Optimized**: Delivers best-in-class performance at a small scale, deployable anywhere.
|
| 63 |
+
- **Apache 2.0 License**: Open-source license allowing usage and modification for both commercial and non-commercial purposes.
|
| 64 |
+
- **Large Context Window**: Supports a 256k context window.
|
| 65 |
+
|
| 66 |
+
### Use Cases
|
| 67 |
+
Private AI deployments where advanced capabilities meet practical hardware constraints:
|
| 68 |
+
- Private/custom chat and AI assistant deployments in constrained environments
|
| 69 |
+
- Advanced local agentic use cases
|
| 70 |
+
- Fine-tuning and specialization
|
| 71 |
+
- And more...
|
| 72 |
+
|
| 73 |
+
Bringing advanced AI capabilities to most environments.
|
| 74 |
+
|
| 75 |
+
## Ministral 3 Family
|
| 76 |
+
|
| 77 |
+
| Model Name | Type | Precision | Link |
|
| 78 |
+
|--------------------------------|--------------------|-----------|------------------------------------------------------------------------------------------|
|
| 79 |
+
| Ministral 3 3B Base 2512 | Base pre-trained | BF16 | [Hugging Face](https://huggingface.co/mistralai/Ministral-3-3B-Base-2512) |
|
| 80 |
+
| Ministral 3 3B Instruct 2512 | Instruct post-trained | BF16 | [Hugging Face](https://huggingface.co/mistralai/Ministral-3-3B-Instruct-2512) |
|
| 81 |
+
| Ministral 3 3B Reasoning 2512 | Reasoning capable | BF16 | [Hugging Face](https://huggingface.co/mistralai/Ministral-3-3B-Reasoning-2512) |
|
| 82 |
+
| Ministral 3 8B Base 2512 | Base pre-trained | BF16 | [Hugging Face](https://huggingface.co/mistralai/Ministral-3-8B-Base-2512) |
|
| 83 |
+
| Ministral 3 8B Instruct 2512 | Instruct post-trained | BF16 | [Hugging Face](https://huggingface.co/mistralai/Ministral-3-8B-Instruct-2512) |
|
| 84 |
+
| Ministral 3 8B Reasoning 2512 | Reasoning capable | BF16 | [Hugging Face](https://huggingface.co/mistralai/Ministral-3-8B-Reasoning-2512) |
|
| 85 |
+
| Ministral 3 14B Base 2512 | Base pre-trained** | BF16 | [Hugging Face](https://huggingface.co/mistralai/Ministral-3-14B-Base-2512) |
|
| 86 |
+
| Ministral 3 14B Instruct 2512 | Instruct post-trained | BF16 | [Hugging Face](https://huggingface.co/mistralai/Ministral-3-14B-Instruct-2512) |
|
| 87 |
+
| **Ministral 3 14B Reasoning 2512** | **Reasoning capable** | **BF16** | [Hugging Face](https://huggingface.co/mistralai/Ministral-3-14B-Reasoning-2512) |
|
| 88 |
+
|
| 89 |
+
Other formats available [here](https://huggingface.co/collections/mistralai/ministral-3-quants).
|
| 90 |
+
|
| 91 |
+
## Benchmark Results
|
| 92 |
+
|
| 93 |
+
We compare Ministral 3 to similar sized models.
|
| 94 |
+
|
| 95 |
+
### Reasoning
|
| 96 |
+
|
| 97 |
+
| Model | AIME25 | AIME24 | GPQA Diamond | LiveCodeBench |
|
| 98 |
+
|---------------------------|-------------|-------------|--------------|---------------|
|
| 99 |
+
| **Ministral 3 14B** | <u>0.850</u>| <u>0.898</u>| <u>0.712</u> | <u>0.646</u> |
|
| 100 |
+
| Qwen3-14B (Thinking) | 0.737 | 0.837 | 0.663 | 0.593 |
|
| 101 |
+
| | | | | |
|
| 102 |
+
| **Ministral 3 8B** | 0.787 | <u>0.860</u>| 0.668 | <u>0.616</u> |
|
| 103 |
+
| Qwen3-VL-8B-Thinking | <u>0.798</u>| <u>0.860</u>| <u>0.671</u> | 0.580 |
|
| 104 |
+
| | | | | |
|
| 105 |
+
| **Ministral 3 3B** | <u>0.721</u>| <u>0.775</u>| 0.534 | <u>0.548</u> |
|
| 106 |
+
| Qwen3-VL-4B-Thinking | 0.697 | 0.729 | <u>0.601</u> | 0.513 |
|
| 107 |
+
|
| 108 |
+
### Instruct
|
| 109 |
+
|
| 110 |
+
| Model | Arena Hard | WildBench | MATH Maj@1 | MM MTBench |
|
| 111 |
+
|---------------------------|-------------|------------|-------------|------------------|
|
| 112 |
+
| **Ministral 3 14B** | <u>0.551</u>| <u>68.5</u>| <u>0.904</u>| <u>8.49</u> |
|
| 113 |
+
| Qwen3 14B (Non-Thinking) | 0.427 | 65.1 | 0.870 | NOT MULTIMODAL |
|
| 114 |
+
| Gemma3-12B-Instruct | 0.436 | 63.2 | 0.854 | 6.70 |
|
| 115 |
+
| | | | | |
|
| 116 |
+
| **Ministral 3 8B** | 0.509 | <u>66.8</u>| 0.876 | <u>8.08</u> |
|
| 117 |
+
| Qwen3-VL-8B-Instruct | <u>0.528</u>| 66.3 | <u>0.946</u>| 8.00 |
|
| 118 |
+
| | | | | |
|
| 119 |
+
| **Ministral 3 3B** | 0.305 | <u>56.8</u>| 0.830 | 7.83 |
|
| 120 |
+
| Qwen3-VL-4B-Instruct | <u>0.438</u>| <u>56.8</u>| <u>0.900</u>| <u>8.01</u> |
|
| 121 |
+
| Qwen3-VL-2B-Instruct | 0.163 | 42.2 | 0.786 | 6.36 |
|
| 122 |
+
| Gemma3-4B-Instruct | 0.318 | 49.1 | 0.759 | 5.23 |
|
| 123 |
+
|
| 124 |
+
### Base
|
| 125 |
+
|
| 126 |
+
| Model | Multilingual MMLU | MATH CoT 2-Shot | AGIEval 5-shot | MMLU Redux 5-shot | MMLU 5-shot | TriviaQA 5-shot |
|
| 127 |
+
|---------------------|-------------------|-----------------|----------------|-------------------|-------------|-----------------|
|
| 128 |
+
| **Ministral 3 14B** | 0.742 | <u>0.676</u> | 0.648 | 0.820 | 0.794 | 0.749 |
|
| 129 |
+
| Qwen3 14B Base | <u>0.754</u> | 0.620 | <u>0.661</u> | <u>0.837</u> | <u>0.804</u>| 0.703 |
|
| 130 |
+
| Gemma 3 12B Base | 0.690 | 0.487 | 0.587 | 0.766 | 0.745 | <u>0.788</u> |
|
| 131 |
+
| | | | | | | |
|
| 132 |
+
| **Ministral 3 8B** | <u>0.706</u> | <u>0.626</u> | 0.591 | 0.793 | <u>0.761</u>| <u>0.681</u> |
|
| 133 |
+
| Qwen 3 8B Base | 0.700 | 0.576 | <u>0.596</u> | <u>0.794</u> | 0.760 | 0.639 |
|
| 134 |
+
| | | | | | | |
|
| 135 |
+
| **Ministral 3 3B** | 0.652 | <u>0.601</u> | 0.511 | 0.735 | 0.707 | 0.592 |
|
| 136 |
+
| Qwen 3 4B Base | <u>0.677</u> | 0.405 | <u>0.570</u> | <u>0.759</u> | <u>0.713</u>| 0.530 |
|
| 137 |
+
| Gemma 3 4B Base | 0.516 | 0.294 | 0.430 | 0.626 | 0.589 | <u>0.640</u> |
|
| 138 |
+
|
| 139 |
+
## Usage
|
| 140 |
+
|
| 141 |
+
The model can be used with the following frameworks;
|
| 142 |
+
- [`vllm`](https://github.com/vllm-project/vllm): See [here](#vllm)
|
| 143 |
+
- [`transformers`](https://github.com/huggingface/transformers): See [here](#transformers)
|
| 144 |
+
|
| 145 |
+
### vLLM
|
| 146 |
+
|
| 147 |
+
We recommend using this model with [vLLM](https://github.com/vllm-project/vllm).
|
| 148 |
+
|
| 149 |
+
#### Installation
|
| 150 |
+
|
| 151 |
+
Make sure to install [`vLLM >= 0.12.0`](https://github.com/vllm-project/vllm/releases/tag/v0.12.0):
|
| 152 |
+
|
| 153 |
+
```
|
| 154 |
+
pip install vllm --upgrade
|
| 155 |
+
```
|
| 156 |
+
|
| 157 |
+
Doing so should automatically install [`mistral_common >= 1.8.6`](https://github.com/mistralai/mistral-common/releases/tag/v1.8.6).
|
| 158 |
+
|
| 159 |
+
To check:
|
| 160 |
+
```
|
| 161 |
+
python -c "import mistral_common; print(mistral_common.__version__)"
|
| 162 |
+
```
|
| 163 |
+
|
| 164 |
+
You can also make use of a ready-to-go [docker image](https://github.com/vllm-project/vllm/blob/main/Dockerfile) or on the [docker hub](https://hub.docker.com/layers/vllm/vllm-openai/latest/images/sha256-de9032a92ffea7b5c007dad80b38fd44aac11eddc31c435f8e52f3b7404bbf39).
|
| 165 |
+
|
| 166 |
+
#### Serve
|
| 167 |
+
|
| 168 |
+
To fully exploit the `Ministral-3-14B-Reasoning-2512` we recommed using 2xH200 GPUs for deployment due to its large context. However if you don't need a large context, you can fall back to a single GPU.
|
| 169 |
+
|
| 170 |
+
A simple launch command is:
|
| 171 |
+
|
| 172 |
+
```bash
|
| 173 |
+
|
| 174 |
+
vllm serve mistralai/Ministral-3-14B-Reasoning-2512-FP8 \
|
| 175 |
+
--tensor-parallel-size 2 \
|
| 176 |
+
--enable-auto-tool-choice --tool-call-parser mistral \
|
| 177 |
+
--reasoning-parser mistral
|
| 178 |
+
```
|
| 179 |
+
|
| 180 |
+
Key parameter notes:
|
| 181 |
+
|
| 182 |
+
* enable-auto-tool-choice: Required when enabling tool usage.
|
| 183 |
+
* tool-call-parser mistral: Required when enabling tool usage.
|
| 184 |
+
* reasoning-parser mistral: Required when enabling reasoning.
|
| 185 |
+
|
| 186 |
+
Additional flags:
|
| 187 |
+
|
| 188 |
+
* You can set `--max-model-len` to preserve memory. By default it is set to `262144` which is quite large but not necessary for most scenarios.
|
| 189 |
+
* You can set `--max-num-batched-tokens` to balance throughput and latency, higher means higher throughput but higher latency.
|
| 190 |
+
|
| 191 |
+
#### Usage of the model
|
| 192 |
+
|
| 193 |
+
Here we asumme that the model `mistralai/Ministral-3-8B-Reasoning-2512` is served and you can ping it to the domain `localhost` with the port `8000` which is the default for vLLM.
|
| 194 |
+
|
| 195 |
+
<details>
|
| 196 |
+
<summary>Vision Reasoning</summary>
|
| 197 |
+
|
| 198 |
+
Let's see if the Ministral 3 model knows when to pick a fight !
|
| 199 |
+
|
| 200 |
+
```python
|
| 201 |
+
from typing import Any
|
| 202 |
+
|
| 203 |
+
from openai import OpenAI
|
| 204 |
+
from huggingface_hub import hf_hub_download
|
| 205 |
+
|
| 206 |
+
# Modify OpenAI's API key and API base to use vLLM's API server.
|
| 207 |
+
openai_api_key = "EMPTY"
|
| 208 |
+
openai_api_base = "http://localhost:8000/v1"
|
| 209 |
+
|
| 210 |
+
TEMP = 0.7
|
| 211 |
+
TOP_P = 0.95
|
| 212 |
+
MAX_TOK = 262144
|
| 213 |
+
client = OpenAI(
|
| 214 |
+
api_key=openai_api_key,
|
| 215 |
+
base_url=openai_api_base,
|
| 216 |
+
)
|
| 217 |
+
|
| 218 |
+
models = client.models.list()
|
| 219 |
+
model = models.data[0].id
|
| 220 |
+
|
| 221 |
+
|
| 222 |
+
def load_system_prompt(repo_id: str, filename: str) -> dict[str, Any]:
|
| 223 |
+
file_path = hf_hub_download(repo_id=repo_id, filename=filename)
|
| 224 |
+
with open(file_path, "r") as file:
|
| 225 |
+
system_prompt = file.read()
|
| 226 |
+
|
| 227 |
+
index_begin_think = system_prompt.find("[THINK]")
|
| 228 |
+
index_end_think = system_prompt.find("[/THINK]")
|
| 229 |
+
|
| 230 |
+
return {
|
| 231 |
+
"role": "system",
|
| 232 |
+
"content": [
|
| 233 |
+
{"type": "text", "text": system_prompt[:index_begin_think]},
|
| 234 |
+
{
|
| 235 |
+
"type": "thinking",
|
| 236 |
+
"thinking": system_prompt[
|
| 237 |
+
index_begin_think + len("[THINK]") : index_end_think
|
| 238 |
+
],
|
| 239 |
+
"closed": True,
|
| 240 |
+
},
|
| 241 |
+
{
|
| 242 |
+
"type": "text",
|
| 243 |
+
"text": system_prompt[index_end_think + len("[/THINK]") :],
|
| 244 |
+
},
|
| 245 |
+
],
|
| 246 |
+
}
|
| 247 |
+
|
| 248 |
+
|
| 249 |
+
SYSTEM_PROMPT = load_system_prompt(model, "SYSTEM_PROMPT.txt")
|
| 250 |
+
|
| 251 |
+
image_url = "https://static.wikia.nocookie.net/essentialsdocs/images/7/70/Battle.png/revision/latest?cb=20220523172438"
|
| 252 |
+
|
| 253 |
+
messages = [
|
| 254 |
+
SYSTEM_PROMPT,
|
| 255 |
+
{
|
| 256 |
+
"role": "user",
|
| 257 |
+
"content": [
|
| 258 |
+
{
|
| 259 |
+
"type": "text",
|
| 260 |
+
"text": "What action do you think I should take in this situation? List all the possible actions and explain why you think they are good or bad.",
|
| 261 |
+
},
|
| 262 |
+
{"type": "image_url", "image_url": {"url": image_url}},
|
| 263 |
+
],
|
| 264 |
+
},
|
| 265 |
+
]
|
| 266 |
+
|
| 267 |
+
|
| 268 |
+
stream = client.chat.completions.create(
|
| 269 |
+
model=model,
|
| 270 |
+
messages=messages,
|
| 271 |
+
stream=True,
|
| 272 |
+
temperature=TEMP,
|
| 273 |
+
top_p=TOP_P,
|
| 274 |
+
max_tokens=MAX_TOK,
|
| 275 |
+
)
|
| 276 |
+
|
| 277 |
+
print("client: Start streaming chat completions...:\n")
|
| 278 |
+
printed_reasoning_content = False
|
| 279 |
+
answer = []
|
| 280 |
+
|
| 281 |
+
for chunk in stream:
|
| 282 |
+
reasoning_content = None
|
| 283 |
+
content = None
|
| 284 |
+
# Check the content is reasoning_content or content
|
| 285 |
+
if hasattr(chunk.choices[0].delta, "reasoning_content"):
|
| 286 |
+
reasoning_content = chunk.choices[0].delta.reasoning_content
|
| 287 |
+
if hasattr(chunk.choices[0].delta, "content"):
|
| 288 |
+
content = chunk.choices[0].delta.content
|
| 289 |
+
|
| 290 |
+
if reasoning_content is not None:
|
| 291 |
+
if not printed_reasoning_content:
|
| 292 |
+
printed_reasoning_content = True
|
| 293 |
+
print("Start reasoning:\n", end="", flush=True)
|
| 294 |
+
print(reasoning_content, end="", flush=True)
|
| 295 |
+
elif content is not None:
|
| 296 |
+
# Extract and print the content
|
| 297 |
+
if not reasoning_content and printed_reasoning_content:
|
| 298 |
+
answer.extend(content)
|
| 299 |
+
print(content, end="", flush=True)
|
| 300 |
+
|
| 301 |
+
if answer:
|
| 302 |
+
print("\n\n=============\nAnswer\n=============\n")
|
| 303 |
+
print("".join(answer))
|
| 304 |
+
else:
|
| 305 |
+
print("\n\n=============\nNo Answer\n=============\n")
|
| 306 |
+
print(
|
| 307 |
+
"No answer was generated by the model, probably because the maximum number of tokens was reached."
|
| 308 |
+
)
|
| 309 |
+
```
|
| 310 |
+
|
| 311 |
+
Now we'll make it compute some maths !
|
| 312 |
+
|
| 313 |
+
```python
|
| 314 |
+
from typing import Any
|
| 315 |
+
|
| 316 |
+
from openai import OpenAI
|
| 317 |
+
from huggingface_hub import hf_hub_download
|
| 318 |
+
|
| 319 |
+
# Modify OpenAI's API key and API base to use vLLM's API server.
|
| 320 |
+
openai_api_key = "EMPTY"
|
| 321 |
+
openai_api_base = "http://localhost:8000/v1"
|
| 322 |
+
|
| 323 |
+
TEMP = 0.7
|
| 324 |
+
TOP_P = 0.95
|
| 325 |
+
MAX_TOK = 262144
|
| 326 |
+
client = OpenAI(
|
| 327 |
+
api_key=openai_api_key,
|
| 328 |
+
base_url=openai_api_base,
|
| 329 |
+
)
|
| 330 |
+
|
| 331 |
+
models = client.models.list()
|
| 332 |
+
model = models.data[0].id
|
| 333 |
+
|
| 334 |
+
|
| 335 |
+
def load_system_prompt(repo_id: str, filename: str) -> dict[str, Any]:
|
| 336 |
+
file_path = hf_hub_download(repo_id=repo_id, filename=filename)
|
| 337 |
+
with open(file_path, "r") as file:
|
| 338 |
+
system_prompt = file.read()
|
| 339 |
+
|
| 340 |
+
index_begin_think = system_prompt.find("[THINK]")
|
| 341 |
+
index_end_think = system_prompt.find("[/THINK]")
|
| 342 |
+
|
| 343 |
+
return {
|
| 344 |
+
"role": "system",
|
| 345 |
+
"content": [
|
| 346 |
+
{"type": "text", "text": system_prompt[:index_begin_think]},
|
| 347 |
+
{
|
| 348 |
+
"type": "thinking",
|
| 349 |
+
"thinking": system_prompt[
|
| 350 |
+
index_begin_think + len("[THINK]") : index_end_think
|
| 351 |
+
],
|
| 352 |
+
"closed": True,
|
| 353 |
+
},
|
| 354 |
+
{
|
| 355 |
+
"type": "text",
|
| 356 |
+
"text": system_prompt[index_end_think + len("[/THINK]") :],
|
| 357 |
+
},
|
| 358 |
+
],
|
| 359 |
+
}
|
| 360 |
+
|
| 361 |
+
|
| 362 |
+
SYSTEM_PROMPT = load_system_prompt(model, "SYSTEM_PROMPT.txt")
|
| 363 |
+
|
| 364 |
+
image_url = "https://i.ytimg.com/vi/5Y3xLHeyKZU/hqdefault.jpg"
|
| 365 |
+
|
| 366 |
+
messages = [
|
| 367 |
+
SYSTEM_PROMPT,
|
| 368 |
+
{
|
| 369 |
+
"role": "user",
|
| 370 |
+
"content": [
|
| 371 |
+
{
|
| 372 |
+
"type": "text",
|
| 373 |
+
"text": "Solve the equations. If they contain only numbers, use your calculator, else only think. Answer in the language of the image.",
|
| 374 |
+
},
|
| 375 |
+
{"type": "image_url", "image_url": {"url": image_url}},
|
| 376 |
+
],
|
| 377 |
+
},
|
| 378 |
+
]
|
| 379 |
+
|
| 380 |
+
stream = client.chat.completions.create(
|
| 381 |
+
model=model,
|
| 382 |
+
messages=messages,
|
| 383 |
+
stream=True,
|
| 384 |
+
temperature=TEMP,
|
| 385 |
+
top_p=TOP_P,
|
| 386 |
+
max_tokens=MAX_TOK,
|
| 387 |
+
)
|
| 388 |
+
|
| 389 |
+
print("client: Start streaming chat completions...:\n")
|
| 390 |
+
printed_reasoning_content = False
|
| 391 |
+
answer = []
|
| 392 |
+
|
| 393 |
+
for chunk in stream:
|
| 394 |
+
reasoning_content = None
|
| 395 |
+
content = None
|
| 396 |
+
# Check the content is reasoning_content or content
|
| 397 |
+
if hasattr(chunk.choices[0].delta, "reasoning_content"):
|
| 398 |
+
reasoning_content = chunk.choices[0].delta.reasoning_content
|
| 399 |
+
if hasattr(chunk.choices[0].delta, "content"):
|
| 400 |
+
content = chunk.choices[0].delta.content
|
| 401 |
+
|
| 402 |
+
if reasoning_content is not None:
|
| 403 |
+
if not printed_reasoning_content:
|
| 404 |
+
printed_reasoning_content = True
|
| 405 |
+
print("Start reasoning:\n", end="", flush=True)
|
| 406 |
+
print(reasoning_content, end="", flush=True)
|
| 407 |
+
if content is not None:
|
| 408 |
+
# Extract and print the content
|
| 409 |
+
if not reasoning_content and printed_reasoning_content:
|
| 410 |
+
answer.extend(content)
|
| 411 |
+
print(content, end="", flush=True)
|
| 412 |
+
|
| 413 |
+
if answer:
|
| 414 |
+
print("\n\n=============\nAnswer\n=============\n")
|
| 415 |
+
print("".join(answer))
|
| 416 |
+
else:
|
| 417 |
+
print("\n\n=============\nNo Answer\n=============\n")
|
| 418 |
+
print(
|
| 419 |
+
"No answer was generated by the model, probably because the maximum number of tokens was reached."
|
| 420 |
+
)
|
| 421 |
+
```
|
| 422 |
+
|
| 423 |
+
</details>
|
| 424 |
+
|
| 425 |
+
<details>
|
| 426 |
+
<summary>Text-Only Request</summary>
|
| 427 |
+
|
| 428 |
+
Let's do more maths and leave it up to the model to figure out how to achieve a result.
|
| 429 |
+
|
| 430 |
+
```python
|
| 431 |
+
from typing import Any
|
| 432 |
+
from openai import OpenAI
|
| 433 |
+
from huggingface_hub import hf_hub_download
|
| 434 |
+
|
| 435 |
+
# Modify OpenAI's API key and API base to use vLLM's API server.
|
| 436 |
+
openai_api_key = "EMPTY"
|
| 437 |
+
openai_api_base = "http://localhost:8000/v1"
|
| 438 |
+
|
| 439 |
+
TEMP = 0.7
|
| 440 |
+
TOP_P = 0.95
|
| 441 |
+
MAX_TOK = 262144
|
| 442 |
+
client = OpenAI(
|
| 443 |
+
api_key=openai_api_key,
|
| 444 |
+
base_url=openai_api_base,
|
| 445 |
+
)
|
| 446 |
+
|
| 447 |
+
models = client.models.list()
|
| 448 |
+
model = models.data[0].id
|
| 449 |
+
|
| 450 |
+
|
| 451 |
+
def load_system_prompt(repo_id: str, filename: str) -> dict[str, Any]:
|
| 452 |
+
file_path = hf_hub_download(repo_id=repo_id, filename=filename)
|
| 453 |
+
with open(file_path, "r") as file:
|
| 454 |
+
system_prompt = file.read()
|
| 455 |
+
|
| 456 |
+
index_begin_think = system_prompt.find("[THINK]")
|
| 457 |
+
index_end_think = system_prompt.find("[/THINK]")
|
| 458 |
+
|
| 459 |
+
return {
|
| 460 |
+
"role": "system",
|
| 461 |
+
"content": [
|
| 462 |
+
{"type": "text", "text": system_prompt[:index_begin_think]},
|
| 463 |
+
{
|
| 464 |
+
"type": "thinking",
|
| 465 |
+
"thinking": system_prompt[
|
| 466 |
+
index_begin_think + len("[THINK]") : index_end_think
|
| 467 |
+
],
|
| 468 |
+
"closed": True,
|
| 469 |
+
},
|
| 470 |
+
{
|
| 471 |
+
"type": "text",
|
| 472 |
+
"text": system_prompt[index_end_think + len("[/THINK]") :],
|
| 473 |
+
},
|
| 474 |
+
],
|
| 475 |
+
}
|
| 476 |
+
|
| 477 |
+
|
| 478 |
+
SYSTEM_PROMPT = load_system_prompt(model, "SYSTEM_PROMPT.txt")
|
| 479 |
+
|
| 480 |
+
query = "Use each number in 2,5,6,3 exactly once, along with any combination of +, -, ×, ÷ (and parentheses for grouping), to make the number 24."
|
| 481 |
+
|
| 482 |
+
messages = [
|
| 483 |
+
SYSTEM_PROMPT,
|
| 484 |
+
{"role": "user", "content": query}
|
| 485 |
+
]
|
| 486 |
+
stream = client.chat.completions.create(
|
| 487 |
+
model=model,
|
| 488 |
+
messages=messages,
|
| 489 |
+
stream=True,
|
| 490 |
+
temperature=TEMP,
|
| 491 |
+
top_p=TOP_P,
|
| 492 |
+
max_tokens=MAX_TOK,
|
| 493 |
+
)
|
| 494 |
+
|
| 495 |
+
print("client: Start streaming chat completions...:\n")
|
| 496 |
+
printed_reasoning_content = False
|
| 497 |
+
answer = []
|
| 498 |
+
|
| 499 |
+
for chunk in stream:
|
| 500 |
+
reasoning_content = None
|
| 501 |
+
content = None
|
| 502 |
+
# Check the content is reasoning_content or content
|
| 503 |
+
if hasattr(chunk.choices[0].delta, "reasoning_content"):
|
| 504 |
+
reasoning_content = chunk.choices[0].delta.reasoning_content
|
| 505 |
+
if hasattr(chunk.choices[0].delta, "content"):
|
| 506 |
+
content = chunk.choices[0].delta.content
|
| 507 |
+
|
| 508 |
+
if reasoning_content is not None:
|
| 509 |
+
if not printed_reasoning_content:
|
| 510 |
+
printed_reasoning_content = True
|
| 511 |
+
print("Start reasoning:\n", end="", flush=True)
|
| 512 |
+
print(reasoning_content, end="", flush=True)
|
| 513 |
+
if content is not None:
|
| 514 |
+
# Extract and print the content
|
| 515 |
+
if not reasoning_content and printed_reasoning_content:
|
| 516 |
+
answer.extend(content)
|
| 517 |
+
print(content, end="", flush=True)
|
| 518 |
+
|
| 519 |
+
if answer:
|
| 520 |
+
print("\n\n=============\nAnswer\n=============\n")
|
| 521 |
+
print("".join(answer))
|
| 522 |
+
else:
|
| 523 |
+
print("\n\n=============\nNo Answer\n=============\n")
|
| 524 |
+
print("No answer was generated by the model, probably because the maximum number of tokens was reached.")
|
| 525 |
+
```
|
| 526 |
+
|
| 527 |
+
</details>
|
| 528 |
+
|
| 529 |
+
### Transformers
|
| 530 |
+
|
| 531 |
+
You can also use Ministral 3 14B Reasoning 2512 with `Transformers` !
|
| 532 |
+
|
| 533 |
+
To make the best use of our model with `Transformers` make sure to have [installed](https://github.com/mistralai/mistral-common) `mistral-common >= 1.8.6` to use our tokenizer.
|
| 534 |
+
|
| 535 |
+
```bash
|
| 536 |
+
pip install mistral-common --upgrade
|
| 537 |
+
```
|
| 538 |
+
|
| 539 |
+
Then load our tokenizer along with the model and generate:
|
| 540 |
+
|
| 541 |
+
<details>
|
| 542 |
+
<summary>Python snippet</summary>
|
| 543 |
+
|
| 544 |
+
```python
|
| 545 |
+
import torch
|
| 546 |
+
from transformers import Mistral3ForConditionalGeneration, MistralCommonBackend
|
| 547 |
+
|
| 548 |
+
model_id = "mistralai/Ministral-3-14B-Reasoning-2512"
|
| 549 |
+
|
| 550 |
+
tokenizer = MistralCommonBackend.from_pretrained(model_id)
|
| 551 |
+
model = Mistral3ForConditionalGeneration.from_pretrained(
|
| 552 |
+
model_id, torch_dtype=torch.bfloat16, device_map="auto"
|
| 553 |
+
)
|
| 554 |
+
|
| 555 |
+
image_url = "https://static.wikia.nocookie.net/essentialsdocs/images/7/70/Battle.png/revision/latest?cb=20220523172438"
|
| 556 |
+
|
| 557 |
+
messages = [
|
| 558 |
+
{
|
| 559 |
+
"role": "user",
|
| 560 |
+
"content": [
|
| 561 |
+
{
|
| 562 |
+
"type": "text",
|
| 563 |
+
"text": "What action do you think I should take in this situation? List all the possible actions and explain why you think they are good or bad.",
|
| 564 |
+
},
|
| 565 |
+
{"type": "image_url", "image_url": {"url": image_url}},
|
| 566 |
+
],
|
| 567 |
+
},
|
| 568 |
+
]
|
| 569 |
+
|
| 570 |
+
tokenized = tokenizer.apply_chat_template(messages, return_tensors="pt", return_dict=True)
|
| 571 |
+
|
| 572 |
+
tokenized["input_ids"] = tokenized["input_ids"].to(device="cuda")
|
| 573 |
+
tokenized["pixel_values"] = tokenized["pixel_values"].to(dtype=torch.bfloat16, device="cuda")
|
| 574 |
+
image_sizes = [tokenized["pixel_values"].shape[-2:]]
|
| 575 |
+
|
| 576 |
+
output = model.generate(
|
| 577 |
+
**tokenized,
|
| 578 |
+
image_sizes=image_sizes,
|
| 579 |
+
max_new_tokens=8092,
|
| 580 |
+
)[0]
|
| 581 |
+
|
| 582 |
+
decoded_output = tokenizer.decode(output[len(tokenized["input_ids"][0]):])
|
| 583 |
+
print(decoded_output)
|
| 584 |
+
```
|
| 585 |
+
|
| 586 |
+
</details>
|
| 587 |
+
|
| 588 |
+
## License
|
| 589 |
+
|
| 590 |
+
This model is licensed under the [Apache 2.0 License](https://www.apache.org/licenses/LICENSE-2.0.txt).
|
| 591 |
+
|
| 592 |
+
*You must not use this model in a manner that infringes, misappropriates, or otherwise violates any third party’s rights, including intellectual property rights.*
|
chat_template.jinja
ADDED
|
@@ -0,0 +1,126 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{#- Unsloth template fixes #}
|
| 2 |
+
{#- Default system message if no system prompt is passed. #}
|
| 3 |
+
{%- set default_system_message = '# HOW YOU SHOULD THINK AND ANSWER\n\nFirst draft your thinking process (inner monologue) until you arrive at a response. Format your response using Markdown, and use LaTeX for any mathematical equations. Write both your thoughts and the response in the same language as the input.\n\nYour thinking process must follow the template below:[THINK]Your thoughts or/and draft, like working through an exercise on scratch paper. Be as casual and as long as you want until you are confident to generate the response to the user.[/THINK]Here, provide a self-contained response.' %}
|
| 4 |
+
|
| 5 |
+
{#- Begin of sequence token. #}
|
| 6 |
+
{{- bos_token }}
|
| 7 |
+
|
| 8 |
+
{#- Handle system prompt if it exists. #}
|
| 9 |
+
{#- System prompt supports text content or text and thinking chunks. #}
|
| 10 |
+
{%- if messages[0]['role'] == 'system' %}
|
| 11 |
+
{{- '[SYSTEM_PROMPT]' -}}
|
| 12 |
+
{%- if messages[0]['content'] is string %}
|
| 13 |
+
{{- messages[0]['content'] -}}
|
| 14 |
+
{%- else %}
|
| 15 |
+
{%- for block in messages[0]['content'] %}
|
| 16 |
+
{%- if block['type'] == 'text' %}
|
| 17 |
+
{{- block['text'] }}
|
| 18 |
+
{%- elif block['type'] == 'thinking' %}
|
| 19 |
+
{{- '[THINK]' + block['thinking'] + '[/THINK]' }}
|
| 20 |
+
{%- else %}
|
| 21 |
+
{{- raise_exception('Only text and thinking chunks are supported in system message contents.') }}
|
| 22 |
+
{%- endif %}
|
| 23 |
+
{%- endfor %}
|
| 24 |
+
{%- endif %}
|
| 25 |
+
{{- '[/SYSTEM_PROMPT]' -}}
|
| 26 |
+
{%- set loop_messages = messages[1:] %}
|
| 27 |
+
{%- else %}
|
| 28 |
+
{%- set loop_messages = messages %}
|
| 29 |
+
{%- if default_system_message != '' %}
|
| 30 |
+
{{- '[SYSTEM_PROMPT]' + default_system_message + '[/SYSTEM_PROMPT]' }}
|
| 31 |
+
{%- endif %}
|
| 32 |
+
{%- endif %}
|
| 33 |
+
|
| 34 |
+
|
| 35 |
+
{#- Tools definition #}
|
| 36 |
+
{%- set tools_definition = '' %}
|
| 37 |
+
{%- set has_tools = false %}
|
| 38 |
+
{%- if tools is defined and tools is not none and tools|length > 0 %}
|
| 39 |
+
{%- set has_tools = true %}
|
| 40 |
+
{%- set tools_definition = '[AVAILABLE_TOOLS]' + (tools| tojson) + '[/AVAILABLE_TOOLS]' %}
|
| 41 |
+
{{- tools_definition }}
|
| 42 |
+
{%- endif %}
|
| 43 |
+
|
| 44 |
+
{#- Checks for alternating user/assistant messages. #}
|
| 45 |
+
{%- set ns = namespace(index=0) %}
|
| 46 |
+
{%- for message in loop_messages %}
|
| 47 |
+
{%- if message.role == 'user' or (message.role == 'assistant' and (message.tool_calls is not defined or message.tool_calls is none or message.tool_calls | length == 0)) %}
|
| 48 |
+
{%- if (message['role'] == 'user') != (ns.index % 2 == 0) %}
|
| 49 |
+
{{- raise_exception('After the optional system message, conversation roles must alternate user and assistant roles except for tool calls and results.') }}
|
| 50 |
+
{%- endif %}
|
| 51 |
+
{%- set ns.index = ns.index + 1 %}
|
| 52 |
+
{%- endif %}
|
| 53 |
+
{%- endfor %}
|
| 54 |
+
|
| 55 |
+
{#- Handle conversation messages. #}
|
| 56 |
+
{%- for message in loop_messages %}
|
| 57 |
+
|
| 58 |
+
{#- User messages supports text content or text and image chunks. #}
|
| 59 |
+
{%- if message['role'] == 'user' %}
|
| 60 |
+
{%- if message['content'] is string %}
|
| 61 |
+
{{- '[INST]' + message['content'] + '[/INST]' }}
|
| 62 |
+
{%- elif message['content'] | length > 0 %}
|
| 63 |
+
{{- '[INST]' }}
|
| 64 |
+
{%- if message['content'] | length == 2 %}
|
| 65 |
+
{%- set blocks = message['content'] | sort(attribute='type') %}
|
| 66 |
+
{%- else %}
|
| 67 |
+
{%- set blocks = message['content'] %}
|
| 68 |
+
{%- endif %}
|
| 69 |
+
{%- for block in blocks %}
|
| 70 |
+
{%- if block['type'] == 'text' %}
|
| 71 |
+
{{- block['text'] }}
|
| 72 |
+
{%- elif block['type'] in ['image', 'image_url'] %}
|
| 73 |
+
{{- '[IMG]' }}
|
| 74 |
+
{%- else %}
|
| 75 |
+
{{- raise_exception('Only text, image and image_url chunks are supported in user message content.') }}
|
| 76 |
+
{%- endif %}
|
| 77 |
+
{%- endfor %}
|
| 78 |
+
{{- '[/INST]' }}
|
| 79 |
+
{%- else %}
|
| 80 |
+
{{- raise_exception('User message must have a string or a list of chunks in content') }}
|
| 81 |
+
{%- endif %}
|
| 82 |
+
|
| 83 |
+
{#- Assistant messages supports text content or text, image and thinking chunks. #}
|
| 84 |
+
{%- elif message['role'] == 'assistant' %}
|
| 85 |
+
|
| 86 |
+
{%- if message['content'] is string and message['content'] != '' %}
|
| 87 |
+
{{- message['content'] }}
|
| 88 |
+
{%- elif message['content'] is iterable and message['content'] | length > 0 %}
|
| 89 |
+
{%- for block in message['content'] %}
|
| 90 |
+
{%- if block['type'] == 'text' %}
|
| 91 |
+
{{- block['text'] }}
|
| 92 |
+
{%- elif block['type'] == 'thinking' %}
|
| 93 |
+
{{- '[THINK]' + block['thinking'] + '[/THINK]' }}
|
| 94 |
+
{%- else %}
|
| 95 |
+
{{- raise_exception('Only text and thinking chunks are supported in assistant message contents.') }}
|
| 96 |
+
{%- endif %}
|
| 97 |
+
{%- endfor %}
|
| 98 |
+
{%- endif %}
|
| 99 |
+
|
| 100 |
+
{%- if message['tool_calls'] is defined and message['tool_calls'] is not none and message['tool_calls']|length > 0 %}
|
| 101 |
+
{%- for tool in message['tool_calls'] %}
|
| 102 |
+
{{- '[TOOL_CALLS]' }}
|
| 103 |
+
{%- set name = tool['function']['name'] %}
|
| 104 |
+
{%- set arguments = tool['function']['arguments'] %}
|
| 105 |
+
{%- if arguments is not string %}
|
| 106 |
+
{%- set arguments = arguments|tojson|safe %}
|
| 107 |
+
{%- elif arguments == '' %}
|
| 108 |
+
{%- set arguments = '{}' %}
|
| 109 |
+
{%- endif %}
|
| 110 |
+
{{- name + '[ARGS]' + arguments }}
|
| 111 |
+
{%- endfor %}
|
| 112 |
+
{%- endif %}
|
| 113 |
+
|
| 114 |
+
{{- eos_token }}
|
| 115 |
+
|
| 116 |
+
{#- Tool messages only supports text content. #}
|
| 117 |
+
{%- elif message['role'] == 'tool' %}
|
| 118 |
+
{{- '[TOOL_RESULTS]' + message['content']|string + '[/TOOL_RESULTS]' }}
|
| 119 |
+
|
| 120 |
+
{#- Raise exception for unsupported roles. #}
|
| 121 |
+
{%- else %}
|
| 122 |
+
{{- raise_exception('Only user, assistant and tool roles are supported, got ' + message['role'] + '.') }}
|
| 123 |
+
{%- endif %}
|
| 124 |
+
{%- endfor %}
|
| 125 |
+
|
| 126 |
+
{#- Copyright 2025-present Unsloth. Apache 2.0 License. #}
|
config.json
ADDED
|
@@ -0,0 +1,66 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"architectures": [
|
| 3 |
+
"Mistral3ForConditionalGeneration"
|
| 4 |
+
],
|
| 5 |
+
"bos_token_id": 1,
|
| 6 |
+
"torch_dtype": "bfloat16",
|
| 7 |
+
"eos_token_id": 2,
|
| 8 |
+
"image_token_index": 10,
|
| 9 |
+
"model_type": "mistral3",
|
| 10 |
+
"multimodal_projector_bias": false,
|
| 11 |
+
"pad_token_id": 11,
|
| 12 |
+
"projector_hidden_act": "gelu",
|
| 13 |
+
"spatial_merge_size": 2,
|
| 14 |
+
"text_config": {
|
| 15 |
+
"attention_dropout": 0.0,
|
| 16 |
+
"torch_dtype": "bfloat16",
|
| 17 |
+
"head_dim": 128,
|
| 18 |
+
"hidden_act": "silu",
|
| 19 |
+
"hidden_size": 5120,
|
| 20 |
+
"initializer_range": 0.02,
|
| 21 |
+
"intermediate_size": 16384,
|
| 22 |
+
"max_position_embeddings": 262144,
|
| 23 |
+
"model_type": "ministral3",
|
| 24 |
+
"num_attention_heads": 32,
|
| 25 |
+
"num_hidden_layers": 40,
|
| 26 |
+
"num_key_value_heads": 8,
|
| 27 |
+
"rms_norm_eps": 1e-05,
|
| 28 |
+
"rope_parameters": {
|
| 29 |
+
"beta_fast": 32.0,
|
| 30 |
+
"beta_slow": 1.0,
|
| 31 |
+
"factor": 16.0,
|
| 32 |
+
"llama_4_scaling_beta": 0.1,
|
| 33 |
+
"mscale": 1.0,
|
| 34 |
+
"mscale_all_dim": 1.0,
|
| 35 |
+
"original_max_position_embeddings": 16384,
|
| 36 |
+
"rope_theta": 1000000000.0,
|
| 37 |
+
"rope_type": "yarn",
|
| 38 |
+
"type": "yarn"
|
| 39 |
+
},
|
| 40 |
+
"sliding_window": null,
|
| 41 |
+
"use_cache": true,
|
| 42 |
+
"vocab_size": 131072
|
| 43 |
+
},
|
| 44 |
+
"transformers_version": "5.0.0.dev0",
|
| 45 |
+
"unsloth_fixed": true,
|
| 46 |
+
"vision_config": {
|
| 47 |
+
"attention_dropout": 0.0,
|
| 48 |
+
"torch_dtype": "bfloat16",
|
| 49 |
+
"head_dim": 64,
|
| 50 |
+
"hidden_act": "silu",
|
| 51 |
+
"hidden_size": 1024,
|
| 52 |
+
"image_size": 1540,
|
| 53 |
+
"initializer_range": 0.02,
|
| 54 |
+
"intermediate_size": 4096,
|
| 55 |
+
"model_type": "pixtral",
|
| 56 |
+
"num_attention_heads": 16,
|
| 57 |
+
"num_channels": 3,
|
| 58 |
+
"num_hidden_layers": 24,
|
| 59 |
+
"patch_size": 14,
|
| 60 |
+
"rope_parameters": {
|
| 61 |
+
"rope_theta": 10000.0,
|
| 62 |
+
"rope_type": "default"
|
| 63 |
+
}
|
| 64 |
+
},
|
| 65 |
+
"vision_feature_layer": -1
|
| 66 |
+
}
|
generation_config.json
ADDED
|
@@ -0,0 +1,7 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"bos_token_id": 1,
|
| 3 |
+
"eos_token_id": 2,
|
| 4 |
+
"max_length": 262144,
|
| 5 |
+
"pad_token_id": 11,
|
| 6 |
+
"transformers_version": "5.0.0.dev0"
|
| 7 |
+
}
|
model-00001-of-00006.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:163fef681d41683f2ac17ae56f3b6935188d593d252389fffef11ce148fde021
|
| 3 |
+
size 4925537056
|
model-00002-of-00006.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:1bbf71635f7242e22752cee209350ff0925b447708d3fbf184c1725bca481230
|
| 3 |
+
size 4865565920
|
model-00003-of-00006.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:81eec09dad5d0ed898fd60cfce3ae35a487bafb805d192b40d4b9724d6c330b3
|
| 3 |
+
size 4865565968
|
model-00004-of-00006.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:648838faaaca188c26901ea32a1ea60c82c7ded26f25098b0b6acda47358bf89
|
| 3 |
+
size 4865565968
|
model-00005-of-00006.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:142478cca6ed3f38a2c9e43d03bc2a3ba84a9d863078e3adbe294f6392aace51
|
| 3 |
+
size 4865565968
|
model-00006-of-00006.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:c87c0c31b38ee58428ccd217c3579be969e684b3e2058b23a6232e7e208eda87
|
| 3 |
+
size 3502340328
|
model.safetensors.index.json
ADDED
|
@@ -0,0 +1,593 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"metadata": {
|
| 3 |
+
"total_parameters": 13945031680,
|
| 4 |
+
"total_size": 27890063360
|
| 5 |
+
},
|
| 6 |
+
"weight_map": {
|
| 7 |
+
"language_model.lm_head.weight": "model-00006-of-00006.safetensors",
|
| 8 |
+
"language_model.model.embed_tokens.weight": "model-00001-of-00006.safetensors",
|
| 9 |
+
"language_model.model.layers.0.input_layernorm.weight": "model-00001-of-00006.safetensors",
|
| 10 |
+
"language_model.model.layers.0.mlp.down_proj.weight": "model-00001-of-00006.safetensors",
|
| 11 |
+
"language_model.model.layers.0.mlp.gate_proj.weight": "model-00001-of-00006.safetensors",
|
| 12 |
+
"language_model.model.layers.0.mlp.up_proj.weight": "model-00001-of-00006.safetensors",
|
| 13 |
+
"language_model.model.layers.0.post_attention_layernorm.weight": "model-00001-of-00006.safetensors",
|
| 14 |
+
"language_model.model.layers.0.self_attn.k_proj.weight": "model-00001-of-00006.safetensors",
|
| 15 |
+
"language_model.model.layers.0.self_attn.o_proj.weight": "model-00001-of-00006.safetensors",
|
| 16 |
+
"language_model.model.layers.0.self_attn.q_proj.weight": "model-00001-of-00006.safetensors",
|
| 17 |
+
"language_model.model.layers.0.self_attn.v_proj.weight": "model-00001-of-00006.safetensors",
|
| 18 |
+
"language_model.model.layers.1.input_layernorm.weight": "model-00001-of-00006.safetensors",
|
| 19 |
+
"language_model.model.layers.1.mlp.down_proj.weight": "model-00001-of-00006.safetensors",
|
| 20 |
+
"language_model.model.layers.1.mlp.gate_proj.weight": "model-00001-of-00006.safetensors",
|
| 21 |
+
"language_model.model.layers.1.mlp.up_proj.weight": "model-00001-of-00006.safetensors",
|
| 22 |
+
"language_model.model.layers.1.post_attention_layernorm.weight": "model-00001-of-00006.safetensors",
|
| 23 |
+
"language_model.model.layers.1.self_attn.k_proj.weight": "model-00001-of-00006.safetensors",
|
| 24 |
+
"language_model.model.layers.1.self_attn.o_proj.weight": "model-00001-of-00006.safetensors",
|
| 25 |
+
"language_model.model.layers.1.self_attn.q_proj.weight": "model-00001-of-00006.safetensors",
|
| 26 |
+
"language_model.model.layers.1.self_attn.v_proj.weight": "model-00001-of-00006.safetensors",
|
| 27 |
+
"language_model.model.layers.10.input_layernorm.weight": "model-00002-of-00006.safetensors",
|
| 28 |
+
"language_model.model.layers.10.mlp.down_proj.weight": "model-00002-of-00006.safetensors",
|
| 29 |
+
"language_model.model.layers.10.mlp.gate_proj.weight": "model-00002-of-00006.safetensors",
|
| 30 |
+
"language_model.model.layers.10.mlp.up_proj.weight": "model-00002-of-00006.safetensors",
|
| 31 |
+
"language_model.model.layers.10.post_attention_layernorm.weight": "model-00002-of-00006.safetensors",
|
| 32 |
+
"language_model.model.layers.10.self_attn.k_proj.weight": "model-00002-of-00006.safetensors",
|
| 33 |
+
"language_model.model.layers.10.self_attn.o_proj.weight": "model-00002-of-00006.safetensors",
|
| 34 |
+
"language_model.model.layers.10.self_attn.q_proj.weight": "model-00002-of-00006.safetensors",
|
| 35 |
+
"language_model.model.layers.10.self_attn.v_proj.weight": "model-00002-of-00006.safetensors",
|
| 36 |
+
"language_model.model.layers.11.input_layernorm.weight": "model-00002-of-00006.safetensors",
|
| 37 |
+
"language_model.model.layers.11.mlp.down_proj.weight": "model-00002-of-00006.safetensors",
|
| 38 |
+
"language_model.model.layers.11.mlp.gate_proj.weight": "model-00002-of-00006.safetensors",
|
| 39 |
+
"language_model.model.layers.11.mlp.up_proj.weight": "model-00002-of-00006.safetensors",
|
| 40 |
+
"language_model.model.layers.11.post_attention_layernorm.weight": "model-00002-of-00006.safetensors",
|
| 41 |
+
"language_model.model.layers.11.self_attn.k_proj.weight": "model-00002-of-00006.safetensors",
|
| 42 |
+
"language_model.model.layers.11.self_attn.o_proj.weight": "model-00002-of-00006.safetensors",
|
| 43 |
+
"language_model.model.layers.11.self_attn.q_proj.weight": "model-00002-of-00006.safetensors",
|
| 44 |
+
"language_model.model.layers.11.self_attn.v_proj.weight": "model-00002-of-00006.safetensors",
|
| 45 |
+
"language_model.model.layers.12.input_layernorm.weight": "model-00003-of-00006.safetensors",
|
| 46 |
+
"language_model.model.layers.12.mlp.down_proj.weight": "model-00003-of-00006.safetensors",
|
| 47 |
+
"language_model.model.layers.12.mlp.gate_proj.weight": "model-00002-of-00006.safetensors",
|
| 48 |
+
"language_model.model.layers.12.mlp.up_proj.weight": "model-00003-of-00006.safetensors",
|
| 49 |
+
"language_model.model.layers.12.post_attention_layernorm.weight": "model-00003-of-00006.safetensors",
|
| 50 |
+
"language_model.model.layers.12.self_attn.k_proj.weight": "model-00002-of-00006.safetensors",
|
| 51 |
+
"language_model.model.layers.12.self_attn.o_proj.weight": "model-00002-of-00006.safetensors",
|
| 52 |
+
"language_model.model.layers.12.self_attn.q_proj.weight": "model-00002-of-00006.safetensors",
|
| 53 |
+
"language_model.model.layers.12.self_attn.v_proj.weight": "model-00002-of-00006.safetensors",
|
| 54 |
+
"language_model.model.layers.13.input_layernorm.weight": "model-00003-of-00006.safetensors",
|
| 55 |
+
"language_model.model.layers.13.mlp.down_proj.weight": "model-00003-of-00006.safetensors",
|
| 56 |
+
"language_model.model.layers.13.mlp.gate_proj.weight": "model-00003-of-00006.safetensors",
|
| 57 |
+
"language_model.model.layers.13.mlp.up_proj.weight": "model-00003-of-00006.safetensors",
|
| 58 |
+
"language_model.model.layers.13.post_attention_layernorm.weight": "model-00003-of-00006.safetensors",
|
| 59 |
+
"language_model.model.layers.13.self_attn.k_proj.weight": "model-00003-of-00006.safetensors",
|
| 60 |
+
"language_model.model.layers.13.self_attn.o_proj.weight": "model-00003-of-00006.safetensors",
|
| 61 |
+
"language_model.model.layers.13.self_attn.q_proj.weight": "model-00003-of-00006.safetensors",
|
| 62 |
+
"language_model.model.layers.13.self_attn.v_proj.weight": "model-00003-of-00006.safetensors",
|
| 63 |
+
"language_model.model.layers.14.input_layernorm.weight": "model-00003-of-00006.safetensors",
|
| 64 |
+
"language_model.model.layers.14.mlp.down_proj.weight": "model-00003-of-00006.safetensors",
|
| 65 |
+
"language_model.model.layers.14.mlp.gate_proj.weight": "model-00003-of-00006.safetensors",
|
| 66 |
+
"language_model.model.layers.14.mlp.up_proj.weight": "model-00003-of-00006.safetensors",
|
| 67 |
+
"language_model.model.layers.14.post_attention_layernorm.weight": "model-00003-of-00006.safetensors",
|
| 68 |
+
"language_model.model.layers.14.self_attn.k_proj.weight": "model-00003-of-00006.safetensors",
|
| 69 |
+
"language_model.model.layers.14.self_attn.o_proj.weight": "model-00003-of-00006.safetensors",
|
| 70 |
+
"language_model.model.layers.14.self_attn.q_proj.weight": "model-00003-of-00006.safetensors",
|
| 71 |
+
"language_model.model.layers.14.self_attn.v_proj.weight": "model-00003-of-00006.safetensors",
|
| 72 |
+
"language_model.model.layers.15.input_layernorm.weight": "model-00003-of-00006.safetensors",
|
| 73 |
+
"language_model.model.layers.15.mlp.down_proj.weight": "model-00003-of-00006.safetensors",
|
| 74 |
+
"language_model.model.layers.15.mlp.gate_proj.weight": "model-00003-of-00006.safetensors",
|
| 75 |
+
"language_model.model.layers.15.mlp.up_proj.weight": "model-00003-of-00006.safetensors",
|
| 76 |
+
"language_model.model.layers.15.post_attention_layernorm.weight": "model-00003-of-00006.safetensors",
|
| 77 |
+
"language_model.model.layers.15.self_attn.k_proj.weight": "model-00003-of-00006.safetensors",
|
| 78 |
+
"language_model.model.layers.15.self_attn.o_proj.weight": "model-00003-of-00006.safetensors",
|
| 79 |
+
"language_model.model.layers.15.self_attn.q_proj.weight": "model-00003-of-00006.safetensors",
|
| 80 |
+
"language_model.model.layers.15.self_attn.v_proj.weight": "model-00003-of-00006.safetensors",
|
| 81 |
+
"language_model.model.layers.16.input_layernorm.weight": "model-00003-of-00006.safetensors",
|
| 82 |
+
"language_model.model.layers.16.mlp.down_proj.weight": "model-00003-of-00006.safetensors",
|
| 83 |
+
"language_model.model.layers.16.mlp.gate_proj.weight": "model-00003-of-00006.safetensors",
|
| 84 |
+
"language_model.model.layers.16.mlp.up_proj.weight": "model-00003-of-00006.safetensors",
|
| 85 |
+
"language_model.model.layers.16.post_attention_layernorm.weight": "model-00003-of-00006.safetensors",
|
| 86 |
+
"language_model.model.layers.16.self_attn.k_proj.weight": "model-00003-of-00006.safetensors",
|
| 87 |
+
"language_model.model.layers.16.self_attn.o_proj.weight": "model-00003-of-00006.safetensors",
|
| 88 |
+
"language_model.model.layers.16.self_attn.q_proj.weight": "model-00003-of-00006.safetensors",
|
| 89 |
+
"language_model.model.layers.16.self_attn.v_proj.weight": "model-00003-of-00006.safetensors",
|
| 90 |
+
"language_model.model.layers.17.input_layernorm.weight": "model-00003-of-00006.safetensors",
|
| 91 |
+
"language_model.model.layers.17.mlp.down_proj.weight": "model-00003-of-00006.safetensors",
|
| 92 |
+
"language_model.model.layers.17.mlp.gate_proj.weight": "model-00003-of-00006.safetensors",
|
| 93 |
+
"language_model.model.layers.17.mlp.up_proj.weight": "model-00003-of-00006.safetensors",
|
| 94 |
+
"language_model.model.layers.17.post_attention_layernorm.weight": "model-00003-of-00006.safetensors",
|
| 95 |
+
"language_model.model.layers.17.self_attn.k_proj.weight": "model-00003-of-00006.safetensors",
|
| 96 |
+
"language_model.model.layers.17.self_attn.o_proj.weight": "model-00003-of-00006.safetensors",
|
| 97 |
+
"language_model.model.layers.17.self_attn.q_proj.weight": "model-00003-of-00006.safetensors",
|
| 98 |
+
"language_model.model.layers.17.self_attn.v_proj.weight": "model-00003-of-00006.safetensors",
|
| 99 |
+
"language_model.model.layers.18.input_layernorm.weight": "model-00003-of-00006.safetensors",
|
| 100 |
+
"language_model.model.layers.18.mlp.down_proj.weight": "model-00003-of-00006.safetensors",
|
| 101 |
+
"language_model.model.layers.18.mlp.gate_proj.weight": "model-00003-of-00006.safetensors",
|
| 102 |
+
"language_model.model.layers.18.mlp.up_proj.weight": "model-00003-of-00006.safetensors",
|
| 103 |
+
"language_model.model.layers.18.post_attention_layernorm.weight": "model-00003-of-00006.safetensors",
|
| 104 |
+
"language_model.model.layers.18.self_attn.k_proj.weight": "model-00003-of-00006.safetensors",
|
| 105 |
+
"language_model.model.layers.18.self_attn.o_proj.weight": "model-00003-of-00006.safetensors",
|
| 106 |
+
"language_model.model.layers.18.self_attn.q_proj.weight": "model-00003-of-00006.safetensors",
|
| 107 |
+
"language_model.model.layers.18.self_attn.v_proj.weight": "model-00003-of-00006.safetensors",
|
| 108 |
+
"language_model.model.layers.19.input_layernorm.weight": "model-00003-of-00006.safetensors",
|
| 109 |
+
"language_model.model.layers.19.mlp.down_proj.weight": "model-00003-of-00006.safetensors",
|
| 110 |
+
"language_model.model.layers.19.mlp.gate_proj.weight": "model-00003-of-00006.safetensors",
|
| 111 |
+
"language_model.model.layers.19.mlp.up_proj.weight": "model-00003-of-00006.safetensors",
|
| 112 |
+
"language_model.model.layers.19.post_attention_layernorm.weight": "model-00003-of-00006.safetensors",
|
| 113 |
+
"language_model.model.layers.19.self_attn.k_proj.weight": "model-00003-of-00006.safetensors",
|
| 114 |
+
"language_model.model.layers.19.self_attn.o_proj.weight": "model-00003-of-00006.safetensors",
|
| 115 |
+
"language_model.model.layers.19.self_attn.q_proj.weight": "model-00003-of-00006.safetensors",
|
| 116 |
+
"language_model.model.layers.19.self_attn.v_proj.weight": "model-00003-of-00006.safetensors",
|
| 117 |
+
"language_model.model.layers.2.input_layernorm.weight": "model-00001-of-00006.safetensors",
|
| 118 |
+
"language_model.model.layers.2.mlp.down_proj.weight": "model-00001-of-00006.safetensors",
|
| 119 |
+
"language_model.model.layers.2.mlp.gate_proj.weight": "model-00001-of-00006.safetensors",
|
| 120 |
+
"language_model.model.layers.2.mlp.up_proj.weight": "model-00001-of-00006.safetensors",
|
| 121 |
+
"language_model.model.layers.2.post_attention_layernorm.weight": "model-00001-of-00006.safetensors",
|
| 122 |
+
"language_model.model.layers.2.self_attn.k_proj.weight": "model-00001-of-00006.safetensors",
|
| 123 |
+
"language_model.model.layers.2.self_attn.o_proj.weight": "model-00001-of-00006.safetensors",
|
| 124 |
+
"language_model.model.layers.2.self_attn.q_proj.weight": "model-00001-of-00006.safetensors",
|
| 125 |
+
"language_model.model.layers.2.self_attn.v_proj.weight": "model-00001-of-00006.safetensors",
|
| 126 |
+
"language_model.model.layers.20.input_layernorm.weight": "model-00004-of-00006.safetensors",
|
| 127 |
+
"language_model.model.layers.20.mlp.down_proj.weight": "model-00004-of-00006.safetensors",
|
| 128 |
+
"language_model.model.layers.20.mlp.gate_proj.weight": "model-00003-of-00006.safetensors",
|
| 129 |
+
"language_model.model.layers.20.mlp.up_proj.weight": "model-00004-of-00006.safetensors",
|
| 130 |
+
"language_model.model.layers.20.post_attention_layernorm.weight": "model-00004-of-00006.safetensors",
|
| 131 |
+
"language_model.model.layers.20.self_attn.k_proj.weight": "model-00003-of-00006.safetensors",
|
| 132 |
+
"language_model.model.layers.20.self_attn.o_proj.weight": "model-00003-of-00006.safetensors",
|
| 133 |
+
"language_model.model.layers.20.self_attn.q_proj.weight": "model-00003-of-00006.safetensors",
|
| 134 |
+
"language_model.model.layers.20.self_attn.v_proj.weight": "model-00003-of-00006.safetensors",
|
| 135 |
+
"language_model.model.layers.21.input_layernorm.weight": "model-00004-of-00006.safetensors",
|
| 136 |
+
"language_model.model.layers.21.mlp.down_proj.weight": "model-00004-of-00006.safetensors",
|
| 137 |
+
"language_model.model.layers.21.mlp.gate_proj.weight": "model-00004-of-00006.safetensors",
|
| 138 |
+
"language_model.model.layers.21.mlp.up_proj.weight": "model-00004-of-00006.safetensors",
|
| 139 |
+
"language_model.model.layers.21.post_attention_layernorm.weight": "model-00004-of-00006.safetensors",
|
| 140 |
+
"language_model.model.layers.21.self_attn.k_proj.weight": "model-00004-of-00006.safetensors",
|
| 141 |
+
"language_model.model.layers.21.self_attn.o_proj.weight": "model-00004-of-00006.safetensors",
|
| 142 |
+
"language_model.model.layers.21.self_attn.q_proj.weight": "model-00004-of-00006.safetensors",
|
| 143 |
+
"language_model.model.layers.21.self_attn.v_proj.weight": "model-00004-of-00006.safetensors",
|
| 144 |
+
"language_model.model.layers.22.input_layernorm.weight": "model-00004-of-00006.safetensors",
|
| 145 |
+
"language_model.model.layers.22.mlp.down_proj.weight": "model-00004-of-00006.safetensors",
|
| 146 |
+
"language_model.model.layers.22.mlp.gate_proj.weight": "model-00004-of-00006.safetensors",
|
| 147 |
+
"language_model.model.layers.22.mlp.up_proj.weight": "model-00004-of-00006.safetensors",
|
| 148 |
+
"language_model.model.layers.22.post_attention_layernorm.weight": "model-00004-of-00006.safetensors",
|
| 149 |
+
"language_model.model.layers.22.self_attn.k_proj.weight": "model-00004-of-00006.safetensors",
|
| 150 |
+
"language_model.model.layers.22.self_attn.o_proj.weight": "model-00004-of-00006.safetensors",
|
| 151 |
+
"language_model.model.layers.22.self_attn.q_proj.weight": "model-00004-of-00006.safetensors",
|
| 152 |
+
"language_model.model.layers.22.self_attn.v_proj.weight": "model-00004-of-00006.safetensors",
|
| 153 |
+
"language_model.model.layers.23.input_layernorm.weight": "model-00004-of-00006.safetensors",
|
| 154 |
+
"language_model.model.layers.23.mlp.down_proj.weight": "model-00004-of-00006.safetensors",
|
| 155 |
+
"language_model.model.layers.23.mlp.gate_proj.weight": "model-00004-of-00006.safetensors",
|
| 156 |
+
"language_model.model.layers.23.mlp.up_proj.weight": "model-00004-of-00006.safetensors",
|
| 157 |
+
"language_model.model.layers.23.post_attention_layernorm.weight": "model-00004-of-00006.safetensors",
|
| 158 |
+
"language_model.model.layers.23.self_attn.k_proj.weight": "model-00004-of-00006.safetensors",
|
| 159 |
+
"language_model.model.layers.23.self_attn.o_proj.weight": "model-00004-of-00006.safetensors",
|
| 160 |
+
"language_model.model.layers.23.self_attn.q_proj.weight": "model-00004-of-00006.safetensors",
|
| 161 |
+
"language_model.model.layers.23.self_attn.v_proj.weight": "model-00004-of-00006.safetensors",
|
| 162 |
+
"language_model.model.layers.24.input_layernorm.weight": "model-00004-of-00006.safetensors",
|
| 163 |
+
"language_model.model.layers.24.mlp.down_proj.weight": "model-00004-of-00006.safetensors",
|
| 164 |
+
"language_model.model.layers.24.mlp.gate_proj.weight": "model-00004-of-00006.safetensors",
|
| 165 |
+
"language_model.model.layers.24.mlp.up_proj.weight": "model-00004-of-00006.safetensors",
|
| 166 |
+
"language_model.model.layers.24.post_attention_layernorm.weight": "model-00004-of-00006.safetensors",
|
| 167 |
+
"language_model.model.layers.24.self_attn.k_proj.weight": "model-00004-of-00006.safetensors",
|
| 168 |
+
"language_model.model.layers.24.self_attn.o_proj.weight": "model-00004-of-00006.safetensors",
|
| 169 |
+
"language_model.model.layers.24.self_attn.q_proj.weight": "model-00004-of-00006.safetensors",
|
| 170 |
+
"language_model.model.layers.24.self_attn.v_proj.weight": "model-00004-of-00006.safetensors",
|
| 171 |
+
"language_model.model.layers.25.input_layernorm.weight": "model-00004-of-00006.safetensors",
|
| 172 |
+
"language_model.model.layers.25.mlp.down_proj.weight": "model-00004-of-00006.safetensors",
|
| 173 |
+
"language_model.model.layers.25.mlp.gate_proj.weight": "model-00004-of-00006.safetensors",
|
| 174 |
+
"language_model.model.layers.25.mlp.up_proj.weight": "model-00004-of-00006.safetensors",
|
| 175 |
+
"language_model.model.layers.25.post_attention_layernorm.weight": "model-00004-of-00006.safetensors",
|
| 176 |
+
"language_model.model.layers.25.self_attn.k_proj.weight": "model-00004-of-00006.safetensors",
|
| 177 |
+
"language_model.model.layers.25.self_attn.o_proj.weight": "model-00004-of-00006.safetensors",
|
| 178 |
+
"language_model.model.layers.25.self_attn.q_proj.weight": "model-00004-of-00006.safetensors",
|
| 179 |
+
"language_model.model.layers.25.self_attn.v_proj.weight": "model-00004-of-00006.safetensors",
|
| 180 |
+
"language_model.model.layers.26.input_layernorm.weight": "model-00004-of-00006.safetensors",
|
| 181 |
+
"language_model.model.layers.26.mlp.down_proj.weight": "model-00004-of-00006.safetensors",
|
| 182 |
+
"language_model.model.layers.26.mlp.gate_proj.weight": "model-00004-of-00006.safetensors",
|
| 183 |
+
"language_model.model.layers.26.mlp.up_proj.weight": "model-00004-of-00006.safetensors",
|
| 184 |
+
"language_model.model.layers.26.post_attention_layernorm.weight": "model-00004-of-00006.safetensors",
|
| 185 |
+
"language_model.model.layers.26.self_attn.k_proj.weight": "model-00004-of-00006.safetensors",
|
| 186 |
+
"language_model.model.layers.26.self_attn.o_proj.weight": "model-00004-of-00006.safetensors",
|
| 187 |
+
"language_model.model.layers.26.self_attn.q_proj.weight": "model-00004-of-00006.safetensors",
|
| 188 |
+
"language_model.model.layers.26.self_attn.v_proj.weight": "model-00004-of-00006.safetensors",
|
| 189 |
+
"language_model.model.layers.27.input_layernorm.weight": "model-00004-of-00006.safetensors",
|
| 190 |
+
"language_model.model.layers.27.mlp.down_proj.weight": "model-00004-of-00006.safetensors",
|
| 191 |
+
"language_model.model.layers.27.mlp.gate_proj.weight": "model-00004-of-00006.safetensors",
|
| 192 |
+
"language_model.model.layers.27.mlp.up_proj.weight": "model-00004-of-00006.safetensors",
|
| 193 |
+
"language_model.model.layers.27.post_attention_layernorm.weight": "model-00004-of-00006.safetensors",
|
| 194 |
+
"language_model.model.layers.27.self_attn.k_proj.weight": "model-00004-of-00006.safetensors",
|
| 195 |
+
"language_model.model.layers.27.self_attn.o_proj.weight": "model-00004-of-00006.safetensors",
|
| 196 |
+
"language_model.model.layers.27.self_attn.q_proj.weight": "model-00004-of-00006.safetensors",
|
| 197 |
+
"language_model.model.layers.27.self_attn.v_proj.weight": "model-00004-of-00006.safetensors",
|
| 198 |
+
"language_model.model.layers.28.input_layernorm.weight": "model-00005-of-00006.safetensors",
|
| 199 |
+
"language_model.model.layers.28.mlp.down_proj.weight": "model-00005-of-00006.safetensors",
|
| 200 |
+
"language_model.model.layers.28.mlp.gate_proj.weight": "model-00004-of-00006.safetensors",
|
| 201 |
+
"language_model.model.layers.28.mlp.up_proj.weight": "model-00005-of-00006.safetensors",
|
| 202 |
+
"language_model.model.layers.28.post_attention_layernorm.weight": "model-00005-of-00006.safetensors",
|
| 203 |
+
"language_model.model.layers.28.self_attn.k_proj.weight": "model-00004-of-00006.safetensors",
|
| 204 |
+
"language_model.model.layers.28.self_attn.o_proj.weight": "model-00004-of-00006.safetensors",
|
| 205 |
+
"language_model.model.layers.28.self_attn.q_proj.weight": "model-00004-of-00006.safetensors",
|
| 206 |
+
"language_model.model.layers.28.self_attn.v_proj.weight": "model-00004-of-00006.safetensors",
|
| 207 |
+
"language_model.model.layers.29.input_layernorm.weight": "model-00005-of-00006.safetensors",
|
| 208 |
+
"language_model.model.layers.29.mlp.down_proj.weight": "model-00005-of-00006.safetensors",
|
| 209 |
+
"language_model.model.layers.29.mlp.gate_proj.weight": "model-00005-of-00006.safetensors",
|
| 210 |
+
"language_model.model.layers.29.mlp.up_proj.weight": "model-00005-of-00006.safetensors",
|
| 211 |
+
"language_model.model.layers.29.post_attention_layernorm.weight": "model-00005-of-00006.safetensors",
|
| 212 |
+
"language_model.model.layers.29.self_attn.k_proj.weight": "model-00005-of-00006.safetensors",
|
| 213 |
+
"language_model.model.layers.29.self_attn.o_proj.weight": "model-00005-of-00006.safetensors",
|
| 214 |
+
"language_model.model.layers.29.self_attn.q_proj.weight": "model-00005-of-00006.safetensors",
|
| 215 |
+
"language_model.model.layers.29.self_attn.v_proj.weight": "model-00005-of-00006.safetensors",
|
| 216 |
+
"language_model.model.layers.3.input_layernorm.weight": "model-00001-of-00006.safetensors",
|
| 217 |
+
"language_model.model.layers.3.mlp.down_proj.weight": "model-00001-of-00006.safetensors",
|
| 218 |
+
"language_model.model.layers.3.mlp.gate_proj.weight": "model-00001-of-00006.safetensors",
|
| 219 |
+
"language_model.model.layers.3.mlp.up_proj.weight": "model-00001-of-00006.safetensors",
|
| 220 |
+
"language_model.model.layers.3.post_attention_layernorm.weight": "model-00001-of-00006.safetensors",
|
| 221 |
+
"language_model.model.layers.3.self_attn.k_proj.weight": "model-00001-of-00006.safetensors",
|
| 222 |
+
"language_model.model.layers.3.self_attn.o_proj.weight": "model-00001-of-00006.safetensors",
|
| 223 |
+
"language_model.model.layers.3.self_attn.q_proj.weight": "model-00001-of-00006.safetensors",
|
| 224 |
+
"language_model.model.layers.3.self_attn.v_proj.weight": "model-00001-of-00006.safetensors",
|
| 225 |
+
"language_model.model.layers.30.input_layernorm.weight": "model-00005-of-00006.safetensors",
|
| 226 |
+
"language_model.model.layers.30.mlp.down_proj.weight": "model-00005-of-00006.safetensors",
|
| 227 |
+
"language_model.model.layers.30.mlp.gate_proj.weight": "model-00005-of-00006.safetensors",
|
| 228 |
+
"language_model.model.layers.30.mlp.up_proj.weight": "model-00005-of-00006.safetensors",
|
| 229 |
+
"language_model.model.layers.30.post_attention_layernorm.weight": "model-00005-of-00006.safetensors",
|
| 230 |
+
"language_model.model.layers.30.self_attn.k_proj.weight": "model-00005-of-00006.safetensors",
|
| 231 |
+
"language_model.model.layers.30.self_attn.o_proj.weight": "model-00005-of-00006.safetensors",
|
| 232 |
+
"language_model.model.layers.30.self_attn.q_proj.weight": "model-00005-of-00006.safetensors",
|
| 233 |
+
"language_model.model.layers.30.self_attn.v_proj.weight": "model-00005-of-00006.safetensors",
|
| 234 |
+
"language_model.model.layers.31.input_layernorm.weight": "model-00005-of-00006.safetensors",
|
| 235 |
+
"language_model.model.layers.31.mlp.down_proj.weight": "model-00005-of-00006.safetensors",
|
| 236 |
+
"language_model.model.layers.31.mlp.gate_proj.weight": "model-00005-of-00006.safetensors",
|
| 237 |
+
"language_model.model.layers.31.mlp.up_proj.weight": "model-00005-of-00006.safetensors",
|
| 238 |
+
"language_model.model.layers.31.post_attention_layernorm.weight": "model-00005-of-00006.safetensors",
|
| 239 |
+
"language_model.model.layers.31.self_attn.k_proj.weight": "model-00005-of-00006.safetensors",
|
| 240 |
+
"language_model.model.layers.31.self_attn.o_proj.weight": "model-00005-of-00006.safetensors",
|
| 241 |
+
"language_model.model.layers.31.self_attn.q_proj.weight": "model-00005-of-00006.safetensors",
|
| 242 |
+
"language_model.model.layers.31.self_attn.v_proj.weight": "model-00005-of-00006.safetensors",
|
| 243 |
+
"language_model.model.layers.32.input_layernorm.weight": "model-00005-of-00006.safetensors",
|
| 244 |
+
"language_model.model.layers.32.mlp.down_proj.weight": "model-00005-of-00006.safetensors",
|
| 245 |
+
"language_model.model.layers.32.mlp.gate_proj.weight": "model-00005-of-00006.safetensors",
|
| 246 |
+
"language_model.model.layers.32.mlp.up_proj.weight": "model-00005-of-00006.safetensors",
|
| 247 |
+
"language_model.model.layers.32.post_attention_layernorm.weight": "model-00005-of-00006.safetensors",
|
| 248 |
+
"language_model.model.layers.32.self_attn.k_proj.weight": "model-00005-of-00006.safetensors",
|
| 249 |
+
"language_model.model.layers.32.self_attn.o_proj.weight": "model-00005-of-00006.safetensors",
|
| 250 |
+
"language_model.model.layers.32.self_attn.q_proj.weight": "model-00005-of-00006.safetensors",
|
| 251 |
+
"language_model.model.layers.32.self_attn.v_proj.weight": "model-00005-of-00006.safetensors",
|
| 252 |
+
"language_model.model.layers.33.input_layernorm.weight": "model-00005-of-00006.safetensors",
|
| 253 |
+
"language_model.model.layers.33.mlp.down_proj.weight": "model-00005-of-00006.safetensors",
|
| 254 |
+
"language_model.model.layers.33.mlp.gate_proj.weight": "model-00005-of-00006.safetensors",
|
| 255 |
+
"language_model.model.layers.33.mlp.up_proj.weight": "model-00005-of-00006.safetensors",
|
| 256 |
+
"language_model.model.layers.33.post_attention_layernorm.weight": "model-00005-of-00006.safetensors",
|
| 257 |
+
"language_model.model.layers.33.self_attn.k_proj.weight": "model-00005-of-00006.safetensors",
|
| 258 |
+
"language_model.model.layers.33.self_attn.o_proj.weight": "model-00005-of-00006.safetensors",
|
| 259 |
+
"language_model.model.layers.33.self_attn.q_proj.weight": "model-00005-of-00006.safetensors",
|
| 260 |
+
"language_model.model.layers.33.self_attn.v_proj.weight": "model-00005-of-00006.safetensors",
|
| 261 |
+
"language_model.model.layers.34.input_layernorm.weight": "model-00005-of-00006.safetensors",
|
| 262 |
+
"language_model.model.layers.34.mlp.down_proj.weight": "model-00005-of-00006.safetensors",
|
| 263 |
+
"language_model.model.layers.34.mlp.gate_proj.weight": "model-00005-of-00006.safetensors",
|
| 264 |
+
"language_model.model.layers.34.mlp.up_proj.weight": "model-00005-of-00006.safetensors",
|
| 265 |
+
"language_model.model.layers.34.post_attention_layernorm.weight": "model-00005-of-00006.safetensors",
|
| 266 |
+
"language_model.model.layers.34.self_attn.k_proj.weight": "model-00005-of-00006.safetensors",
|
| 267 |
+
"language_model.model.layers.34.self_attn.o_proj.weight": "model-00005-of-00006.safetensors",
|
| 268 |
+
"language_model.model.layers.34.self_attn.q_proj.weight": "model-00005-of-00006.safetensors",
|
| 269 |
+
"language_model.model.layers.34.self_attn.v_proj.weight": "model-00005-of-00006.safetensors",
|
| 270 |
+
"language_model.model.layers.35.input_layernorm.weight": "model-00005-of-00006.safetensors",
|
| 271 |
+
"language_model.model.layers.35.mlp.down_proj.weight": "model-00005-of-00006.safetensors",
|
| 272 |
+
"language_model.model.layers.35.mlp.gate_proj.weight": "model-00005-of-00006.safetensors",
|
| 273 |
+
"language_model.model.layers.35.mlp.up_proj.weight": "model-00005-of-00006.safetensors",
|
| 274 |
+
"language_model.model.layers.35.post_attention_layernorm.weight": "model-00005-of-00006.safetensors",
|
| 275 |
+
"language_model.model.layers.35.self_attn.k_proj.weight": "model-00005-of-00006.safetensors",
|
| 276 |
+
"language_model.model.layers.35.self_attn.o_proj.weight": "model-00005-of-00006.safetensors",
|
| 277 |
+
"language_model.model.layers.35.self_attn.q_proj.weight": "model-00005-of-00006.safetensors",
|
| 278 |
+
"language_model.model.layers.35.self_attn.v_proj.weight": "model-00005-of-00006.safetensors",
|
| 279 |
+
"language_model.model.layers.36.input_layernorm.weight": "model-00006-of-00006.safetensors",
|
| 280 |
+
"language_model.model.layers.36.mlp.down_proj.weight": "model-00006-of-00006.safetensors",
|
| 281 |
+
"language_model.model.layers.36.mlp.gate_proj.weight": "model-00005-of-00006.safetensors",
|
| 282 |
+
"language_model.model.layers.36.mlp.up_proj.weight": "model-00006-of-00006.safetensors",
|
| 283 |
+
"language_model.model.layers.36.post_attention_layernorm.weight": "model-00006-of-00006.safetensors",
|
| 284 |
+
"language_model.model.layers.36.self_attn.k_proj.weight": "model-00005-of-00006.safetensors",
|
| 285 |
+
"language_model.model.layers.36.self_attn.o_proj.weight": "model-00005-of-00006.safetensors",
|
| 286 |
+
"language_model.model.layers.36.self_attn.q_proj.weight": "model-00005-of-00006.safetensors",
|
| 287 |
+
"language_model.model.layers.36.self_attn.v_proj.weight": "model-00005-of-00006.safetensors",
|
| 288 |
+
"language_model.model.layers.37.input_layernorm.weight": "model-00006-of-00006.safetensors",
|
| 289 |
+
"language_model.model.layers.37.mlp.down_proj.weight": "model-00006-of-00006.safetensors",
|
| 290 |
+
"language_model.model.layers.37.mlp.gate_proj.weight": "model-00006-of-00006.safetensors",
|
| 291 |
+
"language_model.model.layers.37.mlp.up_proj.weight": "model-00006-of-00006.safetensors",
|
| 292 |
+
"language_model.model.layers.37.post_attention_layernorm.weight": "model-00006-of-00006.safetensors",
|
| 293 |
+
"language_model.model.layers.37.self_attn.k_proj.weight": "model-00006-of-00006.safetensors",
|
| 294 |
+
"language_model.model.layers.37.self_attn.o_proj.weight": "model-00006-of-00006.safetensors",
|
| 295 |
+
"language_model.model.layers.37.self_attn.q_proj.weight": "model-00006-of-00006.safetensors",
|
| 296 |
+
"language_model.model.layers.37.self_attn.v_proj.weight": "model-00006-of-00006.safetensors",
|
| 297 |
+
"language_model.model.layers.38.input_layernorm.weight": "model-00006-of-00006.safetensors",
|
| 298 |
+
"language_model.model.layers.38.mlp.down_proj.weight": "model-00006-of-00006.safetensors",
|
| 299 |
+
"language_model.model.layers.38.mlp.gate_proj.weight": "model-00006-of-00006.safetensors",
|
| 300 |
+
"language_model.model.layers.38.mlp.up_proj.weight": "model-00006-of-00006.safetensors",
|
| 301 |
+
"language_model.model.layers.38.post_attention_layernorm.weight": "model-00006-of-00006.safetensors",
|
| 302 |
+
"language_model.model.layers.38.self_attn.k_proj.weight": "model-00006-of-00006.safetensors",
|
| 303 |
+
"language_model.model.layers.38.self_attn.o_proj.weight": "model-00006-of-00006.safetensors",
|
| 304 |
+
"language_model.model.layers.38.self_attn.q_proj.weight": "model-00006-of-00006.safetensors",
|
| 305 |
+
"language_model.model.layers.38.self_attn.v_proj.weight": "model-00006-of-00006.safetensors",
|
| 306 |
+
"language_model.model.layers.39.input_layernorm.weight": "model-00006-of-00006.safetensors",
|
| 307 |
+
"language_model.model.layers.39.mlp.down_proj.weight": "model-00006-of-00006.safetensors",
|
| 308 |
+
"language_model.model.layers.39.mlp.gate_proj.weight": "model-00006-of-00006.safetensors",
|
| 309 |
+
"language_model.model.layers.39.mlp.up_proj.weight": "model-00006-of-00006.safetensors",
|
| 310 |
+
"language_model.model.layers.39.post_attention_layernorm.weight": "model-00006-of-00006.safetensors",
|
| 311 |
+
"language_model.model.layers.39.self_attn.k_proj.weight": "model-00006-of-00006.safetensors",
|
| 312 |
+
"language_model.model.layers.39.self_attn.o_proj.weight": "model-00006-of-00006.safetensors",
|
| 313 |
+
"language_model.model.layers.39.self_attn.q_proj.weight": "model-00006-of-00006.safetensors",
|
| 314 |
+
"language_model.model.layers.39.self_attn.v_proj.weight": "model-00006-of-00006.safetensors",
|
| 315 |
+
"language_model.model.layers.4.input_layernorm.weight": "model-00002-of-00006.safetensors",
|
| 316 |
+
"language_model.model.layers.4.mlp.down_proj.weight": "model-00002-of-00006.safetensors",
|
| 317 |
+
"language_model.model.layers.4.mlp.gate_proj.weight": "model-00001-of-00006.safetensors",
|
| 318 |
+
"language_model.model.layers.4.mlp.up_proj.weight": "model-00002-of-00006.safetensors",
|
| 319 |
+
"language_model.model.layers.4.post_attention_layernorm.weight": "model-00002-of-00006.safetensors",
|
| 320 |
+
"language_model.model.layers.4.self_attn.k_proj.weight": "model-00001-of-00006.safetensors",
|
| 321 |
+
"language_model.model.layers.4.self_attn.o_proj.weight": "model-00001-of-00006.safetensors",
|
| 322 |
+
"language_model.model.layers.4.self_attn.q_proj.weight": "model-00001-of-00006.safetensors",
|
| 323 |
+
"language_model.model.layers.4.self_attn.v_proj.weight": "model-00001-of-00006.safetensors",
|
| 324 |
+
"language_model.model.layers.5.input_layernorm.weight": "model-00002-of-00006.safetensors",
|
| 325 |
+
"language_model.model.layers.5.mlp.down_proj.weight": "model-00002-of-00006.safetensors",
|
| 326 |
+
"language_model.model.layers.5.mlp.gate_proj.weight": "model-00002-of-00006.safetensors",
|
| 327 |
+
"language_model.model.layers.5.mlp.up_proj.weight": "model-00002-of-00006.safetensors",
|
| 328 |
+
"language_model.model.layers.5.post_attention_layernorm.weight": "model-00002-of-00006.safetensors",
|
| 329 |
+
"language_model.model.layers.5.self_attn.k_proj.weight": "model-00002-of-00006.safetensors",
|
| 330 |
+
"language_model.model.layers.5.self_attn.o_proj.weight": "model-00002-of-00006.safetensors",
|
| 331 |
+
"language_model.model.layers.5.self_attn.q_proj.weight": "model-00002-of-00006.safetensors",
|
| 332 |
+
"language_model.model.layers.5.self_attn.v_proj.weight": "model-00002-of-00006.safetensors",
|
| 333 |
+
"language_model.model.layers.6.input_layernorm.weight": "model-00002-of-00006.safetensors",
|
| 334 |
+
"language_model.model.layers.6.mlp.down_proj.weight": "model-00002-of-00006.safetensors",
|
| 335 |
+
"language_model.model.layers.6.mlp.gate_proj.weight": "model-00002-of-00006.safetensors",
|
| 336 |
+
"language_model.model.layers.6.mlp.up_proj.weight": "model-00002-of-00006.safetensors",
|
| 337 |
+
"language_model.model.layers.6.post_attention_layernorm.weight": "model-00002-of-00006.safetensors",
|
| 338 |
+
"language_model.model.layers.6.self_attn.k_proj.weight": "model-00002-of-00006.safetensors",
|
| 339 |
+
"language_model.model.layers.6.self_attn.o_proj.weight": "model-00002-of-00006.safetensors",
|
| 340 |
+
"language_model.model.layers.6.self_attn.q_proj.weight": "model-00002-of-00006.safetensors",
|
| 341 |
+
"language_model.model.layers.6.self_attn.v_proj.weight": "model-00002-of-00006.safetensors",
|
| 342 |
+
"language_model.model.layers.7.input_layernorm.weight": "model-00002-of-00006.safetensors",
|
| 343 |
+
"language_model.model.layers.7.mlp.down_proj.weight": "model-00002-of-00006.safetensors",
|
| 344 |
+
"language_model.model.layers.7.mlp.gate_proj.weight": "model-00002-of-00006.safetensors",
|
| 345 |
+
"language_model.model.layers.7.mlp.up_proj.weight": "model-00002-of-00006.safetensors",
|
| 346 |
+
"language_model.model.layers.7.post_attention_layernorm.weight": "model-00002-of-00006.safetensors",
|
| 347 |
+
"language_model.model.layers.7.self_attn.k_proj.weight": "model-00002-of-00006.safetensors",
|
| 348 |
+
"language_model.model.layers.7.self_attn.o_proj.weight": "model-00002-of-00006.safetensors",
|
| 349 |
+
"language_model.model.layers.7.self_attn.q_proj.weight": "model-00002-of-00006.safetensors",
|
| 350 |
+
"language_model.model.layers.7.self_attn.v_proj.weight": "model-00002-of-00006.safetensors",
|
| 351 |
+
"language_model.model.layers.8.input_layernorm.weight": "model-00002-of-00006.safetensors",
|
| 352 |
+
"language_model.model.layers.8.mlp.down_proj.weight": "model-00002-of-00006.safetensors",
|
| 353 |
+
"language_model.model.layers.8.mlp.gate_proj.weight": "model-00002-of-00006.safetensors",
|
| 354 |
+
"language_model.model.layers.8.mlp.up_proj.weight": "model-00002-of-00006.safetensors",
|
| 355 |
+
"language_model.model.layers.8.post_attention_layernorm.weight": "model-00002-of-00006.safetensors",
|
| 356 |
+
"language_model.model.layers.8.self_attn.k_proj.weight": "model-00002-of-00006.safetensors",
|
| 357 |
+
"language_model.model.layers.8.self_attn.o_proj.weight": "model-00002-of-00006.safetensors",
|
| 358 |
+
"language_model.model.layers.8.self_attn.q_proj.weight": "model-00002-of-00006.safetensors",
|
| 359 |
+
"language_model.model.layers.8.self_attn.v_proj.weight": "model-00002-of-00006.safetensors",
|
| 360 |
+
"language_model.model.layers.9.input_layernorm.weight": "model-00002-of-00006.safetensors",
|
| 361 |
+
"language_model.model.layers.9.mlp.down_proj.weight": "model-00002-of-00006.safetensors",
|
| 362 |
+
"language_model.model.layers.9.mlp.gate_proj.weight": "model-00002-of-00006.safetensors",
|
| 363 |
+
"language_model.model.layers.9.mlp.up_proj.weight": "model-00002-of-00006.safetensors",
|
| 364 |
+
"language_model.model.layers.9.post_attention_layernorm.weight": "model-00002-of-00006.safetensors",
|
| 365 |
+
"language_model.model.layers.9.self_attn.k_proj.weight": "model-00002-of-00006.safetensors",
|
| 366 |
+
"language_model.model.layers.9.self_attn.o_proj.weight": "model-00002-of-00006.safetensors",
|
| 367 |
+
"language_model.model.layers.9.self_attn.q_proj.weight": "model-00002-of-00006.safetensors",
|
| 368 |
+
"language_model.model.layers.9.self_attn.v_proj.weight": "model-00002-of-00006.safetensors",
|
| 369 |
+
"language_model.model.norm.weight": "model-00006-of-00006.safetensors",
|
| 370 |
+
"multi_modal_projector.linear_1.weight": "model-00001-of-00006.safetensors",
|
| 371 |
+
"multi_modal_projector.linear_2.weight": "model-00001-of-00006.safetensors",
|
| 372 |
+
"multi_modal_projector.norm.weight": "model-00001-of-00006.safetensors",
|
| 373 |
+
"multi_modal_projector.patch_merger.merging_layer.weight": "model-00001-of-00006.safetensors",
|
| 374 |
+
"vision_tower.ln_pre.weight": "model-00001-of-00006.safetensors",
|
| 375 |
+
"vision_tower.patch_conv.weight": "model-00001-of-00006.safetensors",
|
| 376 |
+
"vision_tower.transformer.layers.0.attention.k_proj.weight": "model-00001-of-00006.safetensors",
|
| 377 |
+
"vision_tower.transformer.layers.0.attention.o_proj.weight": "model-00001-of-00006.safetensors",
|
| 378 |
+
"vision_tower.transformer.layers.0.attention.q_proj.weight": "model-00001-of-00006.safetensors",
|
| 379 |
+
"vision_tower.transformer.layers.0.attention.v_proj.weight": "model-00001-of-00006.safetensors",
|
| 380 |
+
"vision_tower.transformer.layers.0.attention_norm.weight": "model-00001-of-00006.safetensors",
|
| 381 |
+
"vision_tower.transformer.layers.0.feed_forward.down_proj.weight": "model-00001-of-00006.safetensors",
|
| 382 |
+
"vision_tower.transformer.layers.0.feed_forward.gate_proj.weight": "model-00001-of-00006.safetensors",
|
| 383 |
+
"vision_tower.transformer.layers.0.feed_forward.up_proj.weight": "model-00001-of-00006.safetensors",
|
| 384 |
+
"vision_tower.transformer.layers.0.ffn_norm.weight": "model-00001-of-00006.safetensors",
|
| 385 |
+
"vision_tower.transformer.layers.1.attention.k_proj.weight": "model-00001-of-00006.safetensors",
|
| 386 |
+
"vision_tower.transformer.layers.1.attention.o_proj.weight": "model-00001-of-00006.safetensors",
|
| 387 |
+
"vision_tower.transformer.layers.1.attention.q_proj.weight": "model-00001-of-00006.safetensors",
|
| 388 |
+
"vision_tower.transformer.layers.1.attention.v_proj.weight": "model-00001-of-00006.safetensors",
|
| 389 |
+
"vision_tower.transformer.layers.1.attention_norm.weight": "model-00001-of-00006.safetensors",
|
| 390 |
+
"vision_tower.transformer.layers.1.feed_forward.down_proj.weight": "model-00001-of-00006.safetensors",
|
| 391 |
+
"vision_tower.transformer.layers.1.feed_forward.gate_proj.weight": "model-00001-of-00006.safetensors",
|
| 392 |
+
"vision_tower.transformer.layers.1.feed_forward.up_proj.weight": "model-00001-of-00006.safetensors",
|
| 393 |
+
"vision_tower.transformer.layers.1.ffn_norm.weight": "model-00001-of-00006.safetensors",
|
| 394 |
+
"vision_tower.transformer.layers.10.attention.k_proj.weight": "model-00001-of-00006.safetensors",
|
| 395 |
+
"vision_tower.transformer.layers.10.attention.o_proj.weight": "model-00001-of-00006.safetensors",
|
| 396 |
+
"vision_tower.transformer.layers.10.attention.q_proj.weight": "model-00001-of-00006.safetensors",
|
| 397 |
+
"vision_tower.transformer.layers.10.attention.v_proj.weight": "model-00001-of-00006.safetensors",
|
| 398 |
+
"vision_tower.transformer.layers.10.attention_norm.weight": "model-00001-of-00006.safetensors",
|
| 399 |
+
"vision_tower.transformer.layers.10.feed_forward.down_proj.weight": "model-00001-of-00006.safetensors",
|
| 400 |
+
"vision_tower.transformer.layers.10.feed_forward.gate_proj.weight": "model-00001-of-00006.safetensors",
|
| 401 |
+
"vision_tower.transformer.layers.10.feed_forward.up_proj.weight": "model-00001-of-00006.safetensors",
|
| 402 |
+
"vision_tower.transformer.layers.10.ffn_norm.weight": "model-00001-of-00006.safetensors",
|
| 403 |
+
"vision_tower.transformer.layers.11.attention.k_proj.weight": "model-00001-of-00006.safetensors",
|
| 404 |
+
"vision_tower.transformer.layers.11.attention.o_proj.weight": "model-00001-of-00006.safetensors",
|
| 405 |
+
"vision_tower.transformer.layers.11.attention.q_proj.weight": "model-00001-of-00006.safetensors",
|
| 406 |
+
"vision_tower.transformer.layers.11.attention.v_proj.weight": "model-00001-of-00006.safetensors",
|
| 407 |
+
"vision_tower.transformer.layers.11.attention_norm.weight": "model-00001-of-00006.safetensors",
|
| 408 |
+
"vision_tower.transformer.layers.11.feed_forward.down_proj.weight": "model-00001-of-00006.safetensors",
|
| 409 |
+
"vision_tower.transformer.layers.11.feed_forward.gate_proj.weight": "model-00001-of-00006.safetensors",
|
| 410 |
+
"vision_tower.transformer.layers.11.feed_forward.up_proj.weight": "model-00001-of-00006.safetensors",
|
| 411 |
+
"vision_tower.transformer.layers.11.ffn_norm.weight": "model-00001-of-00006.safetensors",
|
| 412 |
+
"vision_tower.transformer.layers.12.attention.k_proj.weight": "model-00001-of-00006.safetensors",
|
| 413 |
+
"vision_tower.transformer.layers.12.attention.o_proj.weight": "model-00001-of-00006.safetensors",
|
| 414 |
+
"vision_tower.transformer.layers.12.attention.q_proj.weight": "model-00001-of-00006.safetensors",
|
| 415 |
+
"vision_tower.transformer.layers.12.attention.v_proj.weight": "model-00001-of-00006.safetensors",
|
| 416 |
+
"vision_tower.transformer.layers.12.attention_norm.weight": "model-00001-of-00006.safetensors",
|
| 417 |
+
"vision_tower.transformer.layers.12.feed_forward.down_proj.weight": "model-00001-of-00006.safetensors",
|
| 418 |
+
"vision_tower.transformer.layers.12.feed_forward.gate_proj.weight": "model-00001-of-00006.safetensors",
|
| 419 |
+
"vision_tower.transformer.layers.12.feed_forward.up_proj.weight": "model-00001-of-00006.safetensors",
|
| 420 |
+
"vision_tower.transformer.layers.12.ffn_norm.weight": "model-00001-of-00006.safetensors",
|
| 421 |
+
"vision_tower.transformer.layers.13.attention.k_proj.weight": "model-00001-of-00006.safetensors",
|
| 422 |
+
"vision_tower.transformer.layers.13.attention.o_proj.weight": "model-00001-of-00006.safetensors",
|
| 423 |
+
"vision_tower.transformer.layers.13.attention.q_proj.weight": "model-00001-of-00006.safetensors",
|
| 424 |
+
"vision_tower.transformer.layers.13.attention.v_proj.weight": "model-00001-of-00006.safetensors",
|
| 425 |
+
"vision_tower.transformer.layers.13.attention_norm.weight": "model-00001-of-00006.safetensors",
|
| 426 |
+
"vision_tower.transformer.layers.13.feed_forward.down_proj.weight": "model-00001-of-00006.safetensors",
|
| 427 |
+
"vision_tower.transformer.layers.13.feed_forward.gate_proj.weight": "model-00001-of-00006.safetensors",
|
| 428 |
+
"vision_tower.transformer.layers.13.feed_forward.up_proj.weight": "model-00001-of-00006.safetensors",
|
| 429 |
+
"vision_tower.transformer.layers.13.ffn_norm.weight": "model-00001-of-00006.safetensors",
|
| 430 |
+
"vision_tower.transformer.layers.14.attention.k_proj.weight": "model-00001-of-00006.safetensors",
|
| 431 |
+
"vision_tower.transformer.layers.14.attention.o_proj.weight": "model-00001-of-00006.safetensors",
|
| 432 |
+
"vision_tower.transformer.layers.14.attention.q_proj.weight": "model-00001-of-00006.safetensors",
|
| 433 |
+
"vision_tower.transformer.layers.14.attention.v_proj.weight": "model-00001-of-00006.safetensors",
|
| 434 |
+
"vision_tower.transformer.layers.14.attention_norm.weight": "model-00001-of-00006.safetensors",
|
| 435 |
+
"vision_tower.transformer.layers.14.feed_forward.down_proj.weight": "model-00001-of-00006.safetensors",
|
| 436 |
+
"vision_tower.transformer.layers.14.feed_forward.gate_proj.weight": "model-00001-of-00006.safetensors",
|
| 437 |
+
"vision_tower.transformer.layers.14.feed_forward.up_proj.weight": "model-00001-of-00006.safetensors",
|
| 438 |
+
"vision_tower.transformer.layers.14.ffn_norm.weight": "model-00001-of-00006.safetensors",
|
| 439 |
+
"vision_tower.transformer.layers.15.attention.k_proj.weight": "model-00001-of-00006.safetensors",
|
| 440 |
+
"vision_tower.transformer.layers.15.attention.o_proj.weight": "model-00001-of-00006.safetensors",
|
| 441 |
+
"vision_tower.transformer.layers.15.attention.q_proj.weight": "model-00001-of-00006.safetensors",
|
| 442 |
+
"vision_tower.transformer.layers.15.attention.v_proj.weight": "model-00001-of-00006.safetensors",
|
| 443 |
+
"vision_tower.transformer.layers.15.attention_norm.weight": "model-00001-of-00006.safetensors",
|
| 444 |
+
"vision_tower.transformer.layers.15.feed_forward.down_proj.weight": "model-00001-of-00006.safetensors",
|
| 445 |
+
"vision_tower.transformer.layers.15.feed_forward.gate_proj.weight": "model-00001-of-00006.safetensors",
|
| 446 |
+
"vision_tower.transformer.layers.15.feed_forward.up_proj.weight": "model-00001-of-00006.safetensors",
|
| 447 |
+
"vision_tower.transformer.layers.15.ffn_norm.weight": "model-00001-of-00006.safetensors",
|
| 448 |
+
"vision_tower.transformer.layers.16.attention.k_proj.weight": "model-00001-of-00006.safetensors",
|
| 449 |
+
"vision_tower.transformer.layers.16.attention.o_proj.weight": "model-00001-of-00006.safetensors",
|
| 450 |
+
"vision_tower.transformer.layers.16.attention.q_proj.weight": "model-00001-of-00006.safetensors",
|
| 451 |
+
"vision_tower.transformer.layers.16.attention.v_proj.weight": "model-00001-of-00006.safetensors",
|
| 452 |
+
"vision_tower.transformer.layers.16.attention_norm.weight": "model-00001-of-00006.safetensors",
|
| 453 |
+
"vision_tower.transformer.layers.16.feed_forward.down_proj.weight": "model-00001-of-00006.safetensors",
|
| 454 |
+
"vision_tower.transformer.layers.16.feed_forward.gate_proj.weight": "model-00001-of-00006.safetensors",
|
| 455 |
+
"vision_tower.transformer.layers.16.feed_forward.up_proj.weight": "model-00001-of-00006.safetensors",
|
| 456 |
+
"vision_tower.transformer.layers.16.ffn_norm.weight": "model-00001-of-00006.safetensors",
|
| 457 |
+
"vision_tower.transformer.layers.17.attention.k_proj.weight": "model-00001-of-00006.safetensors",
|
| 458 |
+
"vision_tower.transformer.layers.17.attention.o_proj.weight": "model-00001-of-00006.safetensors",
|
| 459 |
+
"vision_tower.transformer.layers.17.attention.q_proj.weight": "model-00001-of-00006.safetensors",
|
| 460 |
+
"vision_tower.transformer.layers.17.attention.v_proj.weight": "model-00001-of-00006.safetensors",
|
| 461 |
+
"vision_tower.transformer.layers.17.attention_norm.weight": "model-00001-of-00006.safetensors",
|
| 462 |
+
"vision_tower.transformer.layers.17.feed_forward.down_proj.weight": "model-00001-of-00006.safetensors",
|
| 463 |
+
"vision_tower.transformer.layers.17.feed_forward.gate_proj.weight": "model-00001-of-00006.safetensors",
|
| 464 |
+
"vision_tower.transformer.layers.17.feed_forward.up_proj.weight": "model-00001-of-00006.safetensors",
|
| 465 |
+
"vision_tower.transformer.layers.17.ffn_norm.weight": "model-00001-of-00006.safetensors",
|
| 466 |
+
"vision_tower.transformer.layers.18.attention.k_proj.weight": "model-00001-of-00006.safetensors",
|
| 467 |
+
"vision_tower.transformer.layers.18.attention.o_proj.weight": "model-00001-of-00006.safetensors",
|
| 468 |
+
"vision_tower.transformer.layers.18.attention.q_proj.weight": "model-00001-of-00006.safetensors",
|
| 469 |
+
"vision_tower.transformer.layers.18.attention.v_proj.weight": "model-00001-of-00006.safetensors",
|
| 470 |
+
"vision_tower.transformer.layers.18.attention_norm.weight": "model-00001-of-00006.safetensors",
|
| 471 |
+
"vision_tower.transformer.layers.18.feed_forward.down_proj.weight": "model-00001-of-00006.safetensors",
|
| 472 |
+
"vision_tower.transformer.layers.18.feed_forward.gate_proj.weight": "model-00001-of-00006.safetensors",
|
| 473 |
+
"vision_tower.transformer.layers.18.feed_forward.up_proj.weight": "model-00001-of-00006.safetensors",
|
| 474 |
+
"vision_tower.transformer.layers.18.ffn_norm.weight": "model-00001-of-00006.safetensors",
|
| 475 |
+
"vision_tower.transformer.layers.19.attention.k_proj.weight": "model-00001-of-00006.safetensors",
|
| 476 |
+
"vision_tower.transformer.layers.19.attention.o_proj.weight": "model-00001-of-00006.safetensors",
|
| 477 |
+
"vision_tower.transformer.layers.19.attention.q_proj.weight": "model-00001-of-00006.safetensors",
|
| 478 |
+
"vision_tower.transformer.layers.19.attention.v_proj.weight": "model-00001-of-00006.safetensors",
|
| 479 |
+
"vision_tower.transformer.layers.19.attention_norm.weight": "model-00001-of-00006.safetensors",
|
| 480 |
+
"vision_tower.transformer.layers.19.feed_forward.down_proj.weight": "model-00001-of-00006.safetensors",
|
| 481 |
+
"vision_tower.transformer.layers.19.feed_forward.gate_proj.weight": "model-00001-of-00006.safetensors",
|
| 482 |
+
"vision_tower.transformer.layers.19.feed_forward.up_proj.weight": "model-00001-of-00006.safetensors",
|
| 483 |
+
"vision_tower.transformer.layers.19.ffn_norm.weight": "model-00001-of-00006.safetensors",
|
| 484 |
+
"vision_tower.transformer.layers.2.attention.k_proj.weight": "model-00001-of-00006.safetensors",
|
| 485 |
+
"vision_tower.transformer.layers.2.attention.o_proj.weight": "model-00001-of-00006.safetensors",
|
| 486 |
+
"vision_tower.transformer.layers.2.attention.q_proj.weight": "model-00001-of-00006.safetensors",
|
| 487 |
+
"vision_tower.transformer.layers.2.attention.v_proj.weight": "model-00001-of-00006.safetensors",
|
| 488 |
+
"vision_tower.transformer.layers.2.attention_norm.weight": "model-00001-of-00006.safetensors",
|
| 489 |
+
"vision_tower.transformer.layers.2.feed_forward.down_proj.weight": "model-00001-of-00006.safetensors",
|
| 490 |
+
"vision_tower.transformer.layers.2.feed_forward.gate_proj.weight": "model-00001-of-00006.safetensors",
|
| 491 |
+
"vision_tower.transformer.layers.2.feed_forward.up_proj.weight": "model-00001-of-00006.safetensors",
|
| 492 |
+
"vision_tower.transformer.layers.2.ffn_norm.weight": "model-00001-of-00006.safetensors",
|
| 493 |
+
"vision_tower.transformer.layers.20.attention.k_proj.weight": "model-00001-of-00006.safetensors",
|
| 494 |
+
"vision_tower.transformer.layers.20.attention.o_proj.weight": "model-00001-of-00006.safetensors",
|
| 495 |
+
"vision_tower.transformer.layers.20.attention.q_proj.weight": "model-00001-of-00006.safetensors",
|
| 496 |
+
"vision_tower.transformer.layers.20.attention.v_proj.weight": "model-00001-of-00006.safetensors",
|
| 497 |
+
"vision_tower.transformer.layers.20.attention_norm.weight": "model-00001-of-00006.safetensors",
|
| 498 |
+
"vision_tower.transformer.layers.20.feed_forward.down_proj.weight": "model-00001-of-00006.safetensors",
|
| 499 |
+
"vision_tower.transformer.layers.20.feed_forward.gate_proj.weight": "model-00001-of-00006.safetensors",
|
| 500 |
+
"vision_tower.transformer.layers.20.feed_forward.up_proj.weight": "model-00001-of-00006.safetensors",
|
| 501 |
+
"vision_tower.transformer.layers.20.ffn_norm.weight": "model-00001-of-00006.safetensors",
|
| 502 |
+
"vision_tower.transformer.layers.21.attention.k_proj.weight": "model-00001-of-00006.safetensors",
|
| 503 |
+
"vision_tower.transformer.layers.21.attention.o_proj.weight": "model-00001-of-00006.safetensors",
|
| 504 |
+
"vision_tower.transformer.layers.21.attention.q_proj.weight": "model-00001-of-00006.safetensors",
|
| 505 |
+
"vision_tower.transformer.layers.21.attention.v_proj.weight": "model-00001-of-00006.safetensors",
|
| 506 |
+
"vision_tower.transformer.layers.21.attention_norm.weight": "model-00001-of-00006.safetensors",
|
| 507 |
+
"vision_tower.transformer.layers.21.feed_forward.down_proj.weight": "model-00001-of-00006.safetensors",
|
| 508 |
+
"vision_tower.transformer.layers.21.feed_forward.gate_proj.weight": "model-00001-of-00006.safetensors",
|
| 509 |
+
"vision_tower.transformer.layers.21.feed_forward.up_proj.weight": "model-00001-of-00006.safetensors",
|
| 510 |
+
"vision_tower.transformer.layers.21.ffn_norm.weight": "model-00001-of-00006.safetensors",
|
| 511 |
+
"vision_tower.transformer.layers.22.attention.k_proj.weight": "model-00001-of-00006.safetensors",
|
| 512 |
+
"vision_tower.transformer.layers.22.attention.o_proj.weight": "model-00001-of-00006.safetensors",
|
| 513 |
+
"vision_tower.transformer.layers.22.attention.q_proj.weight": "model-00001-of-00006.safetensors",
|
| 514 |
+
"vision_tower.transformer.layers.22.attention.v_proj.weight": "model-00001-of-00006.safetensors",
|
| 515 |
+
"vision_tower.transformer.layers.22.attention_norm.weight": "model-00001-of-00006.safetensors",
|
| 516 |
+
"vision_tower.transformer.layers.22.feed_forward.down_proj.weight": "model-00001-of-00006.safetensors",
|
| 517 |
+
"vision_tower.transformer.layers.22.feed_forward.gate_proj.weight": "model-00001-of-00006.safetensors",
|
| 518 |
+
"vision_tower.transformer.layers.22.feed_forward.up_proj.weight": "model-00001-of-00006.safetensors",
|
| 519 |
+
"vision_tower.transformer.layers.22.ffn_norm.weight": "model-00001-of-00006.safetensors",
|
| 520 |
+
"vision_tower.transformer.layers.23.attention.k_proj.weight": "model-00001-of-00006.safetensors",
|
| 521 |
+
"vision_tower.transformer.layers.23.attention.o_proj.weight": "model-00001-of-00006.safetensors",
|
| 522 |
+
"vision_tower.transformer.layers.23.attention.q_proj.weight": "model-00001-of-00006.safetensors",
|
| 523 |
+
"vision_tower.transformer.layers.23.attention.v_proj.weight": "model-00001-of-00006.safetensors",
|
| 524 |
+
"vision_tower.transformer.layers.23.attention_norm.weight": "model-00001-of-00006.safetensors",
|
| 525 |
+
"vision_tower.transformer.layers.23.feed_forward.down_proj.weight": "model-00001-of-00006.safetensors",
|
| 526 |
+
"vision_tower.transformer.layers.23.feed_forward.gate_proj.weight": "model-00001-of-00006.safetensors",
|
| 527 |
+
"vision_tower.transformer.layers.23.feed_forward.up_proj.weight": "model-00001-of-00006.safetensors",
|
| 528 |
+
"vision_tower.transformer.layers.23.ffn_norm.weight": "model-00001-of-00006.safetensors",
|
| 529 |
+
"vision_tower.transformer.layers.3.attention.k_proj.weight": "model-00001-of-00006.safetensors",
|
| 530 |
+
"vision_tower.transformer.layers.3.attention.o_proj.weight": "model-00001-of-00006.safetensors",
|
| 531 |
+
"vision_tower.transformer.layers.3.attention.q_proj.weight": "model-00001-of-00006.safetensors",
|
| 532 |
+
"vision_tower.transformer.layers.3.attention.v_proj.weight": "model-00001-of-00006.safetensors",
|
| 533 |
+
"vision_tower.transformer.layers.3.attention_norm.weight": "model-00001-of-00006.safetensors",
|
| 534 |
+
"vision_tower.transformer.layers.3.feed_forward.down_proj.weight": "model-00001-of-00006.safetensors",
|
| 535 |
+
"vision_tower.transformer.layers.3.feed_forward.gate_proj.weight": "model-00001-of-00006.safetensors",
|
| 536 |
+
"vision_tower.transformer.layers.3.feed_forward.up_proj.weight": "model-00001-of-00006.safetensors",
|
| 537 |
+
"vision_tower.transformer.layers.3.ffn_norm.weight": "model-00001-of-00006.safetensors",
|
| 538 |
+
"vision_tower.transformer.layers.4.attention.k_proj.weight": "model-00001-of-00006.safetensors",
|
| 539 |
+
"vision_tower.transformer.layers.4.attention.o_proj.weight": "model-00001-of-00006.safetensors",
|
| 540 |
+
"vision_tower.transformer.layers.4.attention.q_proj.weight": "model-00001-of-00006.safetensors",
|
| 541 |
+
"vision_tower.transformer.layers.4.attention.v_proj.weight": "model-00001-of-00006.safetensors",
|
| 542 |
+
"vision_tower.transformer.layers.4.attention_norm.weight": "model-00001-of-00006.safetensors",
|
| 543 |
+
"vision_tower.transformer.layers.4.feed_forward.down_proj.weight": "model-00001-of-00006.safetensors",
|
| 544 |
+
"vision_tower.transformer.layers.4.feed_forward.gate_proj.weight": "model-00001-of-00006.safetensors",
|
| 545 |
+
"vision_tower.transformer.layers.4.feed_forward.up_proj.weight": "model-00001-of-00006.safetensors",
|
| 546 |
+
"vision_tower.transformer.layers.4.ffn_norm.weight": "model-00001-of-00006.safetensors",
|
| 547 |
+
"vision_tower.transformer.layers.5.attention.k_proj.weight": "model-00001-of-00006.safetensors",
|
| 548 |
+
"vision_tower.transformer.layers.5.attention.o_proj.weight": "model-00001-of-00006.safetensors",
|
| 549 |
+
"vision_tower.transformer.layers.5.attention.q_proj.weight": "model-00001-of-00006.safetensors",
|
| 550 |
+
"vision_tower.transformer.layers.5.attention.v_proj.weight": "model-00001-of-00006.safetensors",
|
| 551 |
+
"vision_tower.transformer.layers.5.attention_norm.weight": "model-00001-of-00006.safetensors",
|
| 552 |
+
"vision_tower.transformer.layers.5.feed_forward.down_proj.weight": "model-00001-of-00006.safetensors",
|
| 553 |
+
"vision_tower.transformer.layers.5.feed_forward.gate_proj.weight": "model-00001-of-00006.safetensors",
|
| 554 |
+
"vision_tower.transformer.layers.5.feed_forward.up_proj.weight": "model-00001-of-00006.safetensors",
|
| 555 |
+
"vision_tower.transformer.layers.5.ffn_norm.weight": "model-00001-of-00006.safetensors",
|
| 556 |
+
"vision_tower.transformer.layers.6.attention.k_proj.weight": "model-00001-of-00006.safetensors",
|
| 557 |
+
"vision_tower.transformer.layers.6.attention.o_proj.weight": "model-00001-of-00006.safetensors",
|
| 558 |
+
"vision_tower.transformer.layers.6.attention.q_proj.weight": "model-00001-of-00006.safetensors",
|
| 559 |
+
"vision_tower.transformer.layers.6.attention.v_proj.weight": "model-00001-of-00006.safetensors",
|
| 560 |
+
"vision_tower.transformer.layers.6.attention_norm.weight": "model-00001-of-00006.safetensors",
|
| 561 |
+
"vision_tower.transformer.layers.6.feed_forward.down_proj.weight": "model-00001-of-00006.safetensors",
|
| 562 |
+
"vision_tower.transformer.layers.6.feed_forward.gate_proj.weight": "model-00001-of-00006.safetensors",
|
| 563 |
+
"vision_tower.transformer.layers.6.feed_forward.up_proj.weight": "model-00001-of-00006.safetensors",
|
| 564 |
+
"vision_tower.transformer.layers.6.ffn_norm.weight": "model-00001-of-00006.safetensors",
|
| 565 |
+
"vision_tower.transformer.layers.7.attention.k_proj.weight": "model-00001-of-00006.safetensors",
|
| 566 |
+
"vision_tower.transformer.layers.7.attention.o_proj.weight": "model-00001-of-00006.safetensors",
|
| 567 |
+
"vision_tower.transformer.layers.7.attention.q_proj.weight": "model-00001-of-00006.safetensors",
|
| 568 |
+
"vision_tower.transformer.layers.7.attention.v_proj.weight": "model-00001-of-00006.safetensors",
|
| 569 |
+
"vision_tower.transformer.layers.7.attention_norm.weight": "model-00001-of-00006.safetensors",
|
| 570 |
+
"vision_tower.transformer.layers.7.feed_forward.down_proj.weight": "model-00001-of-00006.safetensors",
|
| 571 |
+
"vision_tower.transformer.layers.7.feed_forward.gate_proj.weight": "model-00001-of-00006.safetensors",
|
| 572 |
+
"vision_tower.transformer.layers.7.feed_forward.up_proj.weight": "model-00001-of-00006.safetensors",
|
| 573 |
+
"vision_tower.transformer.layers.7.ffn_norm.weight": "model-00001-of-00006.safetensors",
|
| 574 |
+
"vision_tower.transformer.layers.8.attention.k_proj.weight": "model-00001-of-00006.safetensors",
|
| 575 |
+
"vision_tower.transformer.layers.8.attention.o_proj.weight": "model-00001-of-00006.safetensors",
|
| 576 |
+
"vision_tower.transformer.layers.8.attention.q_proj.weight": "model-00001-of-00006.safetensors",
|
| 577 |
+
"vision_tower.transformer.layers.8.attention.v_proj.weight": "model-00001-of-00006.safetensors",
|
| 578 |
+
"vision_tower.transformer.layers.8.attention_norm.weight": "model-00001-of-00006.safetensors",
|
| 579 |
+
"vision_tower.transformer.layers.8.feed_forward.down_proj.weight": "model-00001-of-00006.safetensors",
|
| 580 |
+
"vision_tower.transformer.layers.8.feed_forward.gate_proj.weight": "model-00001-of-00006.safetensors",
|
| 581 |
+
"vision_tower.transformer.layers.8.feed_forward.up_proj.weight": "model-00001-of-00006.safetensors",
|
| 582 |
+
"vision_tower.transformer.layers.8.ffn_norm.weight": "model-00001-of-00006.safetensors",
|
| 583 |
+
"vision_tower.transformer.layers.9.attention.k_proj.weight": "model-00001-of-00006.safetensors",
|
| 584 |
+
"vision_tower.transformer.layers.9.attention.o_proj.weight": "model-00001-of-00006.safetensors",
|
| 585 |
+
"vision_tower.transformer.layers.9.attention.q_proj.weight": "model-00001-of-00006.safetensors",
|
| 586 |
+
"vision_tower.transformer.layers.9.attention.v_proj.weight": "model-00001-of-00006.safetensors",
|
| 587 |
+
"vision_tower.transformer.layers.9.attention_norm.weight": "model-00001-of-00006.safetensors",
|
| 588 |
+
"vision_tower.transformer.layers.9.feed_forward.down_proj.weight": "model-00001-of-00006.safetensors",
|
| 589 |
+
"vision_tower.transformer.layers.9.feed_forward.gate_proj.weight": "model-00001-of-00006.safetensors",
|
| 590 |
+
"vision_tower.transformer.layers.9.feed_forward.up_proj.weight": "model-00001-of-00006.safetensors",
|
| 591 |
+
"vision_tower.transformer.layers.9.ffn_norm.weight": "model-00001-of-00006.safetensors"
|
| 592 |
+
}
|
| 593 |
+
}
|
processor_config.json
ADDED
|
@@ -0,0 +1,42 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"image_break_token": "[IMG_BREAK]",
|
| 3 |
+
"image_end_token": "[IMG_END]",
|
| 4 |
+
"image_processor": {
|
| 5 |
+
"crop_size": null,
|
| 6 |
+
"data_format": "channels_first",
|
| 7 |
+
"device": null,
|
| 8 |
+
"disable_grouping": null,
|
| 9 |
+
"do_center_crop": null,
|
| 10 |
+
"do_convert_rgb": true,
|
| 11 |
+
"do_normalize": true,
|
| 12 |
+
"do_pad": null,
|
| 13 |
+
"do_rescale": true,
|
| 14 |
+
"do_resize": true,
|
| 15 |
+
"image_mean": [
|
| 16 |
+
0.48145466,
|
| 17 |
+
0.4578275,
|
| 18 |
+
0.40821073
|
| 19 |
+
],
|
| 20 |
+
"image_processor_type": "PixtralImageProcessorFast",
|
| 21 |
+
"image_seq_length": null,
|
| 22 |
+
"image_std": [
|
| 23 |
+
0.26862954,
|
| 24 |
+
0.26130258,
|
| 25 |
+
0.27577711
|
| 26 |
+
],
|
| 27 |
+
"input_data_format": null,
|
| 28 |
+
"pad_size": null,
|
| 29 |
+
"patch_size": 14,
|
| 30 |
+
"processor_class": "PixtralProcessor",
|
| 31 |
+
"resample": 3,
|
| 32 |
+
"rescale_factor": 0.00392156862745098,
|
| 33 |
+
"return_tensors": null,
|
| 34 |
+
"size": {
|
| 35 |
+
"longest_edge": 1540
|
| 36 |
+
}
|
| 37 |
+
},
|
| 38 |
+
"image_token": "[IMG]",
|
| 39 |
+
"patch_size": 14,
|
| 40 |
+
"processor_class": "PixtralProcessor",
|
| 41 |
+
"spatial_merge_size": 2
|
| 42 |
+
}
|
tokenizer.json
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:577575622324b2e099e2648be26bdeb5e5815ffe66d7004e9e3ddbf421db6bf1
|
| 3 |
+
size 17078110
|
tokenizer_config.json
ADDED
|
@@ -0,0 +1,2023 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"add_bos_token": true,
|
| 3 |
+
"add_eos_token": false,
|
| 4 |
+
"add_prefix_space": null,
|
| 5 |
+
"additional_special_tokens": [
|
| 6 |
+
"<unk>",
|
| 7 |
+
"<s>",
|
| 8 |
+
"</s>",
|
| 9 |
+
"[INST]",
|
| 10 |
+
"[/INST]",
|
| 11 |
+
"[AVAILABLE_TOOLS]",
|
| 12 |
+
"[/AVAILABLE_TOOLS]",
|
| 13 |
+
"[TOOL_RESULTS]",
|
| 14 |
+
"[/TOOL_RESULTS]",
|
| 15 |
+
"[TOOL_CALLS]",
|
| 16 |
+
"[IMG]",
|
| 17 |
+
"<pad>",
|
| 18 |
+
"[IMG_BREAK]",
|
| 19 |
+
"[IMG_END]",
|
| 20 |
+
"[PREFIX]",
|
| 21 |
+
"[MIDDLE]",
|
| 22 |
+
"[SUFFIX]",
|
| 23 |
+
"[SYSTEM_PROMPT]",
|
| 24 |
+
"[/SYSTEM_PROMPT]",
|
| 25 |
+
"[TOOL_CONTENT]",
|
| 26 |
+
"<SPECIAL_20>",
|
| 27 |
+
"<SPECIAL_21>",
|
| 28 |
+
"<SPECIAL_22>",
|
| 29 |
+
"<SPECIAL_23>",
|
| 30 |
+
"[AUDIO]",
|
| 31 |
+
"[BEGIN_AUDIO]",
|
| 32 |
+
"<SPECIAL_26>",
|
| 33 |
+
"<SPECIAL_27>",
|
| 34 |
+
"<SPECIAL_28>",
|
| 35 |
+
"<SPECIAL_29>",
|
| 36 |
+
"<SPECIAL_30>",
|
| 37 |
+
"<SPECIAL_31>",
|
| 38 |
+
"[ARGS]",
|
| 39 |
+
"[CALL_ID]",
|
| 40 |
+
"[THINK]",
|
| 41 |
+
"[/THINK]",
|
| 42 |
+
"<SPECIAL_36>",
|
| 43 |
+
"<SPECIAL_37>",
|
| 44 |
+
"<SPECIAL_38>",
|
| 45 |
+
"<SPECIAL_39>",
|
| 46 |
+
"<SPECIAL_40>",
|
| 47 |
+
"<SPECIAL_41>",
|
| 48 |
+
"<SPECIAL_42>",
|
| 49 |
+
"<SPECIAL_43>",
|
| 50 |
+
"<SPECIAL_44>",
|
| 51 |
+
"<SPECIAL_45>",
|
| 52 |
+
"<SPECIAL_46>",
|
| 53 |
+
"<SPECIAL_47>",
|
| 54 |
+
"<SPECIAL_48>",
|
| 55 |
+
"<SPECIAL_49>",
|
| 56 |
+
"<SPECIAL_50>",
|
| 57 |
+
"<SPECIAL_51>",
|
| 58 |
+
"<SPECIAL_52>",
|
| 59 |
+
"<SPECIAL_53>",
|
| 60 |
+
"<SPECIAL_54>",
|
| 61 |
+
"<SPECIAL_55>",
|
| 62 |
+
"<SPECIAL_56>",
|
| 63 |
+
"<SPECIAL_57>",
|
| 64 |
+
"<SPECIAL_58>",
|
| 65 |
+
"<SPECIAL_59>",
|
| 66 |
+
"<SPECIAL_60>",
|
| 67 |
+
"<SPECIAL_61>",
|
| 68 |
+
"<SPECIAL_62>",
|
| 69 |
+
"<SPECIAL_63>",
|
| 70 |
+
"<SPECIAL_64>",
|
| 71 |
+
"<SPECIAL_65>",
|
| 72 |
+
"<SPECIAL_66>",
|
| 73 |
+
"<SPECIAL_67>",
|
| 74 |
+
"<SPECIAL_68>",
|
| 75 |
+
"<SPECIAL_69>",
|
| 76 |
+
"<SPECIAL_70>",
|
| 77 |
+
"<SPECIAL_71>",
|
| 78 |
+
"<SPECIAL_72>",
|
| 79 |
+
"<SPECIAL_73>",
|
| 80 |
+
"<SPECIAL_74>",
|
| 81 |
+
"<SPECIAL_75>",
|
| 82 |
+
"<SPECIAL_76>",
|
| 83 |
+
"<SPECIAL_77>",
|
| 84 |
+
"<SPECIAL_78>",
|
| 85 |
+
"<SPECIAL_79>",
|
| 86 |
+
"<SPECIAL_80>",
|
| 87 |
+
"<SPECIAL_81>",
|
| 88 |
+
"<SPECIAL_82>",
|
| 89 |
+
"<SPECIAL_83>",
|
| 90 |
+
"<SPECIAL_84>",
|
| 91 |
+
"<SPECIAL_85>",
|
| 92 |
+
"<SPECIAL_86>",
|
| 93 |
+
"<SPECIAL_87>",
|
| 94 |
+
"<SPECIAL_88>",
|
| 95 |
+
"<SPECIAL_89>",
|
| 96 |
+
"<SPECIAL_90>",
|
| 97 |
+
"<SPECIAL_91>",
|
| 98 |
+
"<SPECIAL_92>",
|
| 99 |
+
"<SPECIAL_93>",
|
| 100 |
+
"<SPECIAL_94>",
|
| 101 |
+
"<SPECIAL_95>",
|
| 102 |
+
"<SPECIAL_96>",
|
| 103 |
+
"<SPECIAL_97>",
|
| 104 |
+
"<SPECIAL_98>",
|
| 105 |
+
"<SPECIAL_99>",
|
| 106 |
+
"<SPECIAL_100>",
|
| 107 |
+
"<SPECIAL_101>",
|
| 108 |
+
"<SPECIAL_102>",
|
| 109 |
+
"<SPECIAL_103>",
|
| 110 |
+
"<SPECIAL_104>",
|
| 111 |
+
"<SPECIAL_105>",
|
| 112 |
+
"<SPECIAL_106>",
|
| 113 |
+
"<SPECIAL_107>",
|
| 114 |
+
"<SPECIAL_108>",
|
| 115 |
+
"<SPECIAL_109>",
|
| 116 |
+
"<SPECIAL_110>",
|
| 117 |
+
"<SPECIAL_111>",
|
| 118 |
+
"<SPECIAL_112>",
|
| 119 |
+
"<SPECIAL_113>",
|
| 120 |
+
"<SPECIAL_114>",
|
| 121 |
+
"<SPECIAL_115>",
|
| 122 |
+
"<SPECIAL_116>",
|
| 123 |
+
"<SPECIAL_117>",
|
| 124 |
+
"<SPECIAL_118>",
|
| 125 |
+
"<SPECIAL_119>",
|
| 126 |
+
"<SPECIAL_120>",
|
| 127 |
+
"<SPECIAL_121>",
|
| 128 |
+
"<SPECIAL_122>",
|
| 129 |
+
"<SPECIAL_123>",
|
| 130 |
+
"<SPECIAL_124>",
|
| 131 |
+
"<SPECIAL_125>",
|
| 132 |
+
"<SPECIAL_126>",
|
| 133 |
+
"<SPECIAL_127>",
|
| 134 |
+
"<SPECIAL_128>",
|
| 135 |
+
"<SPECIAL_129>",
|
| 136 |
+
"<SPECIAL_130>",
|
| 137 |
+
"<SPECIAL_131>",
|
| 138 |
+
"<SPECIAL_132>",
|
| 139 |
+
"<SPECIAL_133>",
|
| 140 |
+
"<SPECIAL_134>",
|
| 141 |
+
"<SPECIAL_135>",
|
| 142 |
+
"<SPECIAL_136>",
|
| 143 |
+
"<SPECIAL_137>",
|
| 144 |
+
"<SPECIAL_138>",
|
| 145 |
+
"<SPECIAL_139>",
|
| 146 |
+
"<SPECIAL_140>",
|
| 147 |
+
"<SPECIAL_141>",
|
| 148 |
+
"<SPECIAL_142>",
|
| 149 |
+
"<SPECIAL_143>",
|
| 150 |
+
"<SPECIAL_144>",
|
| 151 |
+
"<SPECIAL_145>",
|
| 152 |
+
"<SPECIAL_146>",
|
| 153 |
+
"<SPECIAL_147>",
|
| 154 |
+
"<SPECIAL_148>",
|
| 155 |
+
"<SPECIAL_149>",
|
| 156 |
+
"<SPECIAL_150>",
|
| 157 |
+
"<SPECIAL_151>",
|
| 158 |
+
"<SPECIAL_152>",
|
| 159 |
+
"<SPECIAL_153>",
|
| 160 |
+
"<SPECIAL_154>",
|
| 161 |
+
"<SPECIAL_155>",
|
| 162 |
+
"<SPECIAL_156>",
|
| 163 |
+
"<SPECIAL_157>",
|
| 164 |
+
"<SPECIAL_158>",
|
| 165 |
+
"<SPECIAL_159>",
|
| 166 |
+
"<SPECIAL_160>",
|
| 167 |
+
"<SPECIAL_161>",
|
| 168 |
+
"<SPECIAL_162>",
|
| 169 |
+
"<SPECIAL_163>",
|
| 170 |
+
"<SPECIAL_164>",
|
| 171 |
+
"<SPECIAL_165>",
|
| 172 |
+
"<SPECIAL_166>",
|
| 173 |
+
"<SPECIAL_167>",
|
| 174 |
+
"<SPECIAL_168>",
|
| 175 |
+
"<SPECIAL_169>",
|
| 176 |
+
"<SPECIAL_170>",
|
| 177 |
+
"<SPECIAL_171>",
|
| 178 |
+
"<SPECIAL_172>",
|
| 179 |
+
"<SPECIAL_173>",
|
| 180 |
+
"<SPECIAL_174>",
|
| 181 |
+
"<SPECIAL_175>",
|
| 182 |
+
"<SPECIAL_176>",
|
| 183 |
+
"<SPECIAL_177>",
|
| 184 |
+
"<SPECIAL_178>",
|
| 185 |
+
"<SPECIAL_179>",
|
| 186 |
+
"<SPECIAL_180>",
|
| 187 |
+
"<SPECIAL_181>",
|
| 188 |
+
"<SPECIAL_182>",
|
| 189 |
+
"<SPECIAL_183>",
|
| 190 |
+
"<SPECIAL_184>",
|
| 191 |
+
"<SPECIAL_185>",
|
| 192 |
+
"<SPECIAL_186>",
|
| 193 |
+
"<SPECIAL_187>",
|
| 194 |
+
"<SPECIAL_188>",
|
| 195 |
+
"<SPECIAL_189>",
|
| 196 |
+
"<SPECIAL_190>",
|
| 197 |
+
"<SPECIAL_191>",
|
| 198 |
+
"<SPECIAL_192>",
|
| 199 |
+
"<SPECIAL_193>",
|
| 200 |
+
"<SPECIAL_194>",
|
| 201 |
+
"<SPECIAL_195>",
|
| 202 |
+
"<SPECIAL_196>",
|
| 203 |
+
"<SPECIAL_197>",
|
| 204 |
+
"<SPECIAL_198>",
|
| 205 |
+
"<SPECIAL_199>",
|
| 206 |
+
"<SPECIAL_200>",
|
| 207 |
+
"<SPECIAL_201>",
|
| 208 |
+
"<SPECIAL_202>",
|
| 209 |
+
"<SPECIAL_203>",
|
| 210 |
+
"<SPECIAL_204>",
|
| 211 |
+
"<SPECIAL_205>",
|
| 212 |
+
"<SPECIAL_206>",
|
| 213 |
+
"<SPECIAL_207>",
|
| 214 |
+
"<SPECIAL_208>",
|
| 215 |
+
"<SPECIAL_209>",
|
| 216 |
+
"<SPECIAL_210>",
|
| 217 |
+
"<SPECIAL_211>",
|
| 218 |
+
"<SPECIAL_212>",
|
| 219 |
+
"<SPECIAL_213>",
|
| 220 |
+
"<SPECIAL_214>",
|
| 221 |
+
"<SPECIAL_215>",
|
| 222 |
+
"<SPECIAL_216>",
|
| 223 |
+
"<SPECIAL_217>",
|
| 224 |
+
"<SPECIAL_218>",
|
| 225 |
+
"<SPECIAL_219>",
|
| 226 |
+
"<SPECIAL_220>",
|
| 227 |
+
"<SPECIAL_221>",
|
| 228 |
+
"<SPECIAL_222>",
|
| 229 |
+
"<SPECIAL_223>",
|
| 230 |
+
"<SPECIAL_224>",
|
| 231 |
+
"<SPECIAL_225>",
|
| 232 |
+
"<SPECIAL_226>",
|
| 233 |
+
"<SPECIAL_227>",
|
| 234 |
+
"<SPECIAL_228>",
|
| 235 |
+
"<SPECIAL_229>",
|
| 236 |
+
"<SPECIAL_230>",
|
| 237 |
+
"<SPECIAL_231>",
|
| 238 |
+
"<SPECIAL_232>",
|
| 239 |
+
"<SPECIAL_233>",
|
| 240 |
+
"<SPECIAL_234>",
|
| 241 |
+
"<SPECIAL_235>",
|
| 242 |
+
"<SPECIAL_236>",
|
| 243 |
+
"<SPECIAL_237>",
|
| 244 |
+
"<SPECIAL_238>",
|
| 245 |
+
"<SPECIAL_239>",
|
| 246 |
+
"<SPECIAL_240>",
|
| 247 |
+
"<SPECIAL_241>",
|
| 248 |
+
"<SPECIAL_242>",
|
| 249 |
+
"<SPECIAL_243>",
|
| 250 |
+
"<SPECIAL_244>",
|
| 251 |
+
"<SPECIAL_245>",
|
| 252 |
+
"<SPECIAL_246>",
|
| 253 |
+
"<SPECIAL_247>",
|
| 254 |
+
"<SPECIAL_248>",
|
| 255 |
+
"<SPECIAL_249>",
|
| 256 |
+
"<SPECIAL_250>",
|
| 257 |
+
"<SPECIAL_251>",
|
| 258 |
+
"<SPECIAL_252>",
|
| 259 |
+
"<SPECIAL_253>",
|
| 260 |
+
"<SPECIAL_254>",
|
| 261 |
+
"<SPECIAL_255>",
|
| 262 |
+
"<SPECIAL_256>",
|
| 263 |
+
"<SPECIAL_257>",
|
| 264 |
+
"<SPECIAL_258>",
|
| 265 |
+
"<SPECIAL_259>",
|
| 266 |
+
"<SPECIAL_260>",
|
| 267 |
+
"<SPECIAL_261>",
|
| 268 |
+
"<SPECIAL_262>",
|
| 269 |
+
"<SPECIAL_263>",
|
| 270 |
+
"<SPECIAL_264>",
|
| 271 |
+
"<SPECIAL_265>",
|
| 272 |
+
"<SPECIAL_266>",
|
| 273 |
+
"<SPECIAL_267>",
|
| 274 |
+
"<SPECIAL_268>",
|
| 275 |
+
"<SPECIAL_269>",
|
| 276 |
+
"<SPECIAL_270>",
|
| 277 |
+
"<SPECIAL_271>",
|
| 278 |
+
"<SPECIAL_272>",
|
| 279 |
+
"<SPECIAL_273>",
|
| 280 |
+
"<SPECIAL_274>",
|
| 281 |
+
"<SPECIAL_275>",
|
| 282 |
+
"<SPECIAL_276>",
|
| 283 |
+
"<SPECIAL_277>",
|
| 284 |
+
"<SPECIAL_278>",
|
| 285 |
+
"<SPECIAL_279>",
|
| 286 |
+
"<SPECIAL_280>",
|
| 287 |
+
"<SPECIAL_281>",
|
| 288 |
+
"<SPECIAL_282>",
|
| 289 |
+
"<SPECIAL_283>",
|
| 290 |
+
"<SPECIAL_284>",
|
| 291 |
+
"<SPECIAL_285>",
|
| 292 |
+
"<SPECIAL_286>",
|
| 293 |
+
"<SPECIAL_287>",
|
| 294 |
+
"<SPECIAL_288>",
|
| 295 |
+
"<SPECIAL_289>",
|
| 296 |
+
"<SPECIAL_290>",
|
| 297 |
+
"<SPECIAL_291>",
|
| 298 |
+
"<SPECIAL_292>",
|
| 299 |
+
"<SPECIAL_293>",
|
| 300 |
+
"<SPECIAL_294>",
|
| 301 |
+
"<SPECIAL_295>",
|
| 302 |
+
"<SPECIAL_296>",
|
| 303 |
+
"<SPECIAL_297>",
|
| 304 |
+
"<SPECIAL_298>",
|
| 305 |
+
"<SPECIAL_299>",
|
| 306 |
+
"<SPECIAL_300>",
|
| 307 |
+
"<SPECIAL_301>",
|
| 308 |
+
"<SPECIAL_302>",
|
| 309 |
+
"<SPECIAL_303>",
|
| 310 |
+
"<SPECIAL_304>",
|
| 311 |
+
"<SPECIAL_305>",
|
| 312 |
+
"<SPECIAL_306>",
|
| 313 |
+
"<SPECIAL_307>",
|
| 314 |
+
"<SPECIAL_308>",
|
| 315 |
+
"<SPECIAL_309>",
|
| 316 |
+
"<SPECIAL_310>",
|
| 317 |
+
"<SPECIAL_311>",
|
| 318 |
+
"<SPECIAL_312>",
|
| 319 |
+
"<SPECIAL_313>",
|
| 320 |
+
"<SPECIAL_314>",
|
| 321 |
+
"<SPECIAL_315>",
|
| 322 |
+
"<SPECIAL_316>",
|
| 323 |
+
"<SPECIAL_317>",
|
| 324 |
+
"<SPECIAL_318>",
|
| 325 |
+
"<SPECIAL_319>",
|
| 326 |
+
"<SPECIAL_320>",
|
| 327 |
+
"<SPECIAL_321>",
|
| 328 |
+
"<SPECIAL_322>",
|
| 329 |
+
"<SPECIAL_323>",
|
| 330 |
+
"<SPECIAL_324>",
|
| 331 |
+
"<SPECIAL_325>",
|
| 332 |
+
"<SPECIAL_326>",
|
| 333 |
+
"<SPECIAL_327>",
|
| 334 |
+
"<SPECIAL_328>",
|
| 335 |
+
"<SPECIAL_329>",
|
| 336 |
+
"<SPECIAL_330>",
|
| 337 |
+
"<SPECIAL_331>",
|
| 338 |
+
"<SPECIAL_332>",
|
| 339 |
+
"<SPECIAL_333>",
|
| 340 |
+
"<SPECIAL_334>",
|
| 341 |
+
"<SPECIAL_335>",
|
| 342 |
+
"<SPECIAL_336>",
|
| 343 |
+
"<SPECIAL_337>",
|
| 344 |
+
"<SPECIAL_338>",
|
| 345 |
+
"<SPECIAL_339>",
|
| 346 |
+
"<SPECIAL_340>",
|
| 347 |
+
"<SPECIAL_341>",
|
| 348 |
+
"<SPECIAL_342>",
|
| 349 |
+
"<SPECIAL_343>",
|
| 350 |
+
"<SPECIAL_344>",
|
| 351 |
+
"<SPECIAL_345>",
|
| 352 |
+
"<SPECIAL_346>",
|
| 353 |
+
"<SPECIAL_347>",
|
| 354 |
+
"<SPECIAL_348>",
|
| 355 |
+
"<SPECIAL_349>",
|
| 356 |
+
"<SPECIAL_350>",
|
| 357 |
+
"<SPECIAL_351>",
|
| 358 |
+
"<SPECIAL_352>",
|
| 359 |
+
"<SPECIAL_353>",
|
| 360 |
+
"<SPECIAL_354>",
|
| 361 |
+
"<SPECIAL_355>",
|
| 362 |
+
"<SPECIAL_356>",
|
| 363 |
+
"<SPECIAL_357>",
|
| 364 |
+
"<SPECIAL_358>",
|
| 365 |
+
"<SPECIAL_359>",
|
| 366 |
+
"<SPECIAL_360>",
|
| 367 |
+
"<SPECIAL_361>",
|
| 368 |
+
"<SPECIAL_362>",
|
| 369 |
+
"<SPECIAL_363>",
|
| 370 |
+
"<SPECIAL_364>",
|
| 371 |
+
"<SPECIAL_365>",
|
| 372 |
+
"<SPECIAL_366>",
|
| 373 |
+
"<SPECIAL_367>",
|
| 374 |
+
"<SPECIAL_368>",
|
| 375 |
+
"<SPECIAL_369>",
|
| 376 |
+
"<SPECIAL_370>",
|
| 377 |
+
"<SPECIAL_371>",
|
| 378 |
+
"<SPECIAL_372>",
|
| 379 |
+
"<SPECIAL_373>",
|
| 380 |
+
"<SPECIAL_374>",
|
| 381 |
+
"<SPECIAL_375>",
|
| 382 |
+
"<SPECIAL_376>",
|
| 383 |
+
"<SPECIAL_377>",
|
| 384 |
+
"<SPECIAL_378>",
|
| 385 |
+
"<SPECIAL_379>",
|
| 386 |
+
"<SPECIAL_380>",
|
| 387 |
+
"<SPECIAL_381>",
|
| 388 |
+
"<SPECIAL_382>",
|
| 389 |
+
"<SPECIAL_383>",
|
| 390 |
+
"<SPECIAL_384>",
|
| 391 |
+
"<SPECIAL_385>",
|
| 392 |
+
"<SPECIAL_386>",
|
| 393 |
+
"<SPECIAL_387>",
|
| 394 |
+
"<SPECIAL_388>",
|
| 395 |
+
"<SPECIAL_389>",
|
| 396 |
+
"<SPECIAL_390>",
|
| 397 |
+
"<SPECIAL_391>",
|
| 398 |
+
"<SPECIAL_392>",
|
| 399 |
+
"<SPECIAL_393>",
|
| 400 |
+
"<SPECIAL_394>",
|
| 401 |
+
"<SPECIAL_395>",
|
| 402 |
+
"<SPECIAL_396>",
|
| 403 |
+
"<SPECIAL_397>",
|
| 404 |
+
"<SPECIAL_398>",
|
| 405 |
+
"<SPECIAL_399>",
|
| 406 |
+
"<SPECIAL_400>",
|
| 407 |
+
"<SPECIAL_401>",
|
| 408 |
+
"<SPECIAL_402>",
|
| 409 |
+
"<SPECIAL_403>",
|
| 410 |
+
"<SPECIAL_404>",
|
| 411 |
+
"<SPECIAL_405>",
|
| 412 |
+
"<SPECIAL_406>",
|
| 413 |
+
"<SPECIAL_407>",
|
| 414 |
+
"<SPECIAL_408>",
|
| 415 |
+
"<SPECIAL_409>",
|
| 416 |
+
"<SPECIAL_410>",
|
| 417 |
+
"<SPECIAL_411>",
|
| 418 |
+
"<SPECIAL_412>",
|
| 419 |
+
"<SPECIAL_413>",
|
| 420 |
+
"<SPECIAL_414>",
|
| 421 |
+
"<SPECIAL_415>",
|
| 422 |
+
"<SPECIAL_416>",
|
| 423 |
+
"<SPECIAL_417>",
|
| 424 |
+
"<SPECIAL_418>",
|
| 425 |
+
"<SPECIAL_419>",
|
| 426 |
+
"<SPECIAL_420>",
|
| 427 |
+
"<SPECIAL_421>",
|
| 428 |
+
"<SPECIAL_422>",
|
| 429 |
+
"<SPECIAL_423>",
|
| 430 |
+
"<SPECIAL_424>",
|
| 431 |
+
"<SPECIAL_425>",
|
| 432 |
+
"<SPECIAL_426>",
|
| 433 |
+
"<SPECIAL_427>",
|
| 434 |
+
"<SPECIAL_428>",
|
| 435 |
+
"<SPECIAL_429>",
|
| 436 |
+
"<SPECIAL_430>",
|
| 437 |
+
"<SPECIAL_431>",
|
| 438 |
+
"<SPECIAL_432>",
|
| 439 |
+
"<SPECIAL_433>",
|
| 440 |
+
"<SPECIAL_434>",
|
| 441 |
+
"<SPECIAL_435>",
|
| 442 |
+
"<SPECIAL_436>",
|
| 443 |
+
"<SPECIAL_437>",
|
| 444 |
+
"<SPECIAL_438>",
|
| 445 |
+
"<SPECIAL_439>",
|
| 446 |
+
"<SPECIAL_440>",
|
| 447 |
+
"<SPECIAL_441>",
|
| 448 |
+
"<SPECIAL_442>",
|
| 449 |
+
"<SPECIAL_443>",
|
| 450 |
+
"<SPECIAL_444>",
|
| 451 |
+
"<SPECIAL_445>",
|
| 452 |
+
"<SPECIAL_446>",
|
| 453 |
+
"<SPECIAL_447>",
|
| 454 |
+
"<SPECIAL_448>",
|
| 455 |
+
"<SPECIAL_449>",
|
| 456 |
+
"<SPECIAL_450>",
|
| 457 |
+
"<SPECIAL_451>",
|
| 458 |
+
"<SPECIAL_452>",
|
| 459 |
+
"<SPECIAL_453>",
|
| 460 |
+
"<SPECIAL_454>",
|
| 461 |
+
"<SPECIAL_455>",
|
| 462 |
+
"<SPECIAL_456>",
|
| 463 |
+
"<SPECIAL_457>",
|
| 464 |
+
"<SPECIAL_458>",
|
| 465 |
+
"<SPECIAL_459>",
|
| 466 |
+
"<SPECIAL_460>",
|
| 467 |
+
"<SPECIAL_461>",
|
| 468 |
+
"<SPECIAL_462>",
|
| 469 |
+
"<SPECIAL_463>",
|
| 470 |
+
"<SPECIAL_464>",
|
| 471 |
+
"<SPECIAL_465>",
|
| 472 |
+
"<SPECIAL_466>",
|
| 473 |
+
"<SPECIAL_467>",
|
| 474 |
+
"<SPECIAL_468>",
|
| 475 |
+
"<SPECIAL_469>",
|
| 476 |
+
"<SPECIAL_470>",
|
| 477 |
+
"<SPECIAL_471>",
|
| 478 |
+
"<SPECIAL_472>",
|
| 479 |
+
"<SPECIAL_473>",
|
| 480 |
+
"<SPECIAL_474>",
|
| 481 |
+
"<SPECIAL_475>",
|
| 482 |
+
"<SPECIAL_476>",
|
| 483 |
+
"<SPECIAL_477>",
|
| 484 |
+
"<SPECIAL_478>",
|
| 485 |
+
"<SPECIAL_479>",
|
| 486 |
+
"<SPECIAL_480>",
|
| 487 |
+
"<SPECIAL_481>",
|
| 488 |
+
"<SPECIAL_482>",
|
| 489 |
+
"<SPECIAL_483>",
|
| 490 |
+
"<SPECIAL_484>",
|
| 491 |
+
"<SPECIAL_485>",
|
| 492 |
+
"<SPECIAL_486>",
|
| 493 |
+
"<SPECIAL_487>",
|
| 494 |
+
"<SPECIAL_488>",
|
| 495 |
+
"<SPECIAL_489>",
|
| 496 |
+
"<SPECIAL_490>",
|
| 497 |
+
"<SPECIAL_491>",
|
| 498 |
+
"<SPECIAL_492>",
|
| 499 |
+
"<SPECIAL_493>",
|
| 500 |
+
"<SPECIAL_494>",
|
| 501 |
+
"<SPECIAL_495>",
|
| 502 |
+
"<SPECIAL_496>",
|
| 503 |
+
"<SPECIAL_497>",
|
| 504 |
+
"<SPECIAL_498>",
|
| 505 |
+
"<SPECIAL_499>",
|
| 506 |
+
"<SPECIAL_500>",
|
| 507 |
+
"<SPECIAL_501>",
|
| 508 |
+
"<SPECIAL_502>",
|
| 509 |
+
"<SPECIAL_503>",
|
| 510 |
+
"<SPECIAL_504>",
|
| 511 |
+
"<SPECIAL_505>",
|
| 512 |
+
"<SPECIAL_506>",
|
| 513 |
+
"<SPECIAL_507>",
|
| 514 |
+
"<SPECIAL_508>",
|
| 515 |
+
"<SPECIAL_509>",
|
| 516 |
+
"<SPECIAL_510>",
|
| 517 |
+
"<SPECIAL_511>",
|
| 518 |
+
"<SPECIAL_512>",
|
| 519 |
+
"<SPECIAL_513>",
|
| 520 |
+
"<SPECIAL_514>",
|
| 521 |
+
"<SPECIAL_515>",
|
| 522 |
+
"<SPECIAL_516>",
|
| 523 |
+
"<SPECIAL_517>",
|
| 524 |
+
"<SPECIAL_518>",
|
| 525 |
+
"<SPECIAL_519>",
|
| 526 |
+
"<SPECIAL_520>",
|
| 527 |
+
"<SPECIAL_521>",
|
| 528 |
+
"<SPECIAL_522>",
|
| 529 |
+
"<SPECIAL_523>",
|
| 530 |
+
"<SPECIAL_524>",
|
| 531 |
+
"<SPECIAL_525>",
|
| 532 |
+
"<SPECIAL_526>",
|
| 533 |
+
"<SPECIAL_527>",
|
| 534 |
+
"<SPECIAL_528>",
|
| 535 |
+
"<SPECIAL_529>",
|
| 536 |
+
"<SPECIAL_530>",
|
| 537 |
+
"<SPECIAL_531>",
|
| 538 |
+
"<SPECIAL_532>",
|
| 539 |
+
"<SPECIAL_533>",
|
| 540 |
+
"<SPECIAL_534>",
|
| 541 |
+
"<SPECIAL_535>",
|
| 542 |
+
"<SPECIAL_536>",
|
| 543 |
+
"<SPECIAL_537>",
|
| 544 |
+
"<SPECIAL_538>",
|
| 545 |
+
"<SPECIAL_539>",
|
| 546 |
+
"<SPECIAL_540>",
|
| 547 |
+
"<SPECIAL_541>",
|
| 548 |
+
"<SPECIAL_542>",
|
| 549 |
+
"<SPECIAL_543>",
|
| 550 |
+
"<SPECIAL_544>",
|
| 551 |
+
"<SPECIAL_545>",
|
| 552 |
+
"<SPECIAL_546>",
|
| 553 |
+
"<SPECIAL_547>",
|
| 554 |
+
"<SPECIAL_548>",
|
| 555 |
+
"<SPECIAL_549>",
|
| 556 |
+
"<SPECIAL_550>",
|
| 557 |
+
"<SPECIAL_551>",
|
| 558 |
+
"<SPECIAL_552>",
|
| 559 |
+
"<SPECIAL_553>",
|
| 560 |
+
"<SPECIAL_554>",
|
| 561 |
+
"<SPECIAL_555>",
|
| 562 |
+
"<SPECIAL_556>",
|
| 563 |
+
"<SPECIAL_557>",
|
| 564 |
+
"<SPECIAL_558>",
|
| 565 |
+
"<SPECIAL_559>",
|
| 566 |
+
"<SPECIAL_560>",
|
| 567 |
+
"<SPECIAL_561>",
|
| 568 |
+
"<SPECIAL_562>",
|
| 569 |
+
"<SPECIAL_563>",
|
| 570 |
+
"<SPECIAL_564>",
|
| 571 |
+
"<SPECIAL_565>",
|
| 572 |
+
"<SPECIAL_566>",
|
| 573 |
+
"<SPECIAL_567>",
|
| 574 |
+
"<SPECIAL_568>",
|
| 575 |
+
"<SPECIAL_569>",
|
| 576 |
+
"<SPECIAL_570>",
|
| 577 |
+
"<SPECIAL_571>",
|
| 578 |
+
"<SPECIAL_572>",
|
| 579 |
+
"<SPECIAL_573>",
|
| 580 |
+
"<SPECIAL_574>",
|
| 581 |
+
"<SPECIAL_575>",
|
| 582 |
+
"<SPECIAL_576>",
|
| 583 |
+
"<SPECIAL_577>",
|
| 584 |
+
"<SPECIAL_578>",
|
| 585 |
+
"<SPECIAL_579>",
|
| 586 |
+
"<SPECIAL_580>",
|
| 587 |
+
"<SPECIAL_581>",
|
| 588 |
+
"<SPECIAL_582>",
|
| 589 |
+
"<SPECIAL_583>",
|
| 590 |
+
"<SPECIAL_584>",
|
| 591 |
+
"<SPECIAL_585>",
|
| 592 |
+
"<SPECIAL_586>",
|
| 593 |
+
"<SPECIAL_587>",
|
| 594 |
+
"<SPECIAL_588>",
|
| 595 |
+
"<SPECIAL_589>",
|
| 596 |
+
"<SPECIAL_590>",
|
| 597 |
+
"<SPECIAL_591>",
|
| 598 |
+
"<SPECIAL_592>",
|
| 599 |
+
"<SPECIAL_593>",
|
| 600 |
+
"<SPECIAL_594>",
|
| 601 |
+
"<SPECIAL_595>",
|
| 602 |
+
"<SPECIAL_596>",
|
| 603 |
+
"<SPECIAL_597>",
|
| 604 |
+
"<SPECIAL_598>",
|
| 605 |
+
"<SPECIAL_599>",
|
| 606 |
+
"<SPECIAL_600>",
|
| 607 |
+
"<SPECIAL_601>",
|
| 608 |
+
"<SPECIAL_602>",
|
| 609 |
+
"<SPECIAL_603>",
|
| 610 |
+
"<SPECIAL_604>",
|
| 611 |
+
"<SPECIAL_605>",
|
| 612 |
+
"<SPECIAL_606>",
|
| 613 |
+
"<SPECIAL_607>",
|
| 614 |
+
"<SPECIAL_608>",
|
| 615 |
+
"<SPECIAL_609>",
|
| 616 |
+
"<SPECIAL_610>",
|
| 617 |
+
"<SPECIAL_611>",
|
| 618 |
+
"<SPECIAL_612>",
|
| 619 |
+
"<SPECIAL_613>",
|
| 620 |
+
"<SPECIAL_614>",
|
| 621 |
+
"<SPECIAL_615>",
|
| 622 |
+
"<SPECIAL_616>",
|
| 623 |
+
"<SPECIAL_617>",
|
| 624 |
+
"<SPECIAL_618>",
|
| 625 |
+
"<SPECIAL_619>",
|
| 626 |
+
"<SPECIAL_620>",
|
| 627 |
+
"<SPECIAL_621>",
|
| 628 |
+
"<SPECIAL_622>",
|
| 629 |
+
"<SPECIAL_623>",
|
| 630 |
+
"<SPECIAL_624>",
|
| 631 |
+
"<SPECIAL_625>",
|
| 632 |
+
"<SPECIAL_626>",
|
| 633 |
+
"<SPECIAL_627>",
|
| 634 |
+
"<SPECIAL_628>",
|
| 635 |
+
"<SPECIAL_629>",
|
| 636 |
+
"<SPECIAL_630>",
|
| 637 |
+
"<SPECIAL_631>",
|
| 638 |
+
"<SPECIAL_632>",
|
| 639 |
+
"<SPECIAL_633>",
|
| 640 |
+
"<SPECIAL_634>",
|
| 641 |
+
"<SPECIAL_635>",
|
| 642 |
+
"<SPECIAL_636>",
|
| 643 |
+
"<SPECIAL_637>",
|
| 644 |
+
"<SPECIAL_638>",
|
| 645 |
+
"<SPECIAL_639>",
|
| 646 |
+
"<SPECIAL_640>",
|
| 647 |
+
"<SPECIAL_641>",
|
| 648 |
+
"<SPECIAL_642>",
|
| 649 |
+
"<SPECIAL_643>",
|
| 650 |
+
"<SPECIAL_644>",
|
| 651 |
+
"<SPECIAL_645>",
|
| 652 |
+
"<SPECIAL_646>",
|
| 653 |
+
"<SPECIAL_647>",
|
| 654 |
+
"<SPECIAL_648>",
|
| 655 |
+
"<SPECIAL_649>",
|
| 656 |
+
"<SPECIAL_650>",
|
| 657 |
+
"<SPECIAL_651>",
|
| 658 |
+
"<SPECIAL_652>",
|
| 659 |
+
"<SPECIAL_653>",
|
| 660 |
+
"<SPECIAL_654>",
|
| 661 |
+
"<SPECIAL_655>",
|
| 662 |
+
"<SPECIAL_656>",
|
| 663 |
+
"<SPECIAL_657>",
|
| 664 |
+
"<SPECIAL_658>",
|
| 665 |
+
"<SPECIAL_659>",
|
| 666 |
+
"<SPECIAL_660>",
|
| 667 |
+
"<SPECIAL_661>",
|
| 668 |
+
"<SPECIAL_662>",
|
| 669 |
+
"<SPECIAL_663>",
|
| 670 |
+
"<SPECIAL_664>",
|
| 671 |
+
"<SPECIAL_665>",
|
| 672 |
+
"<SPECIAL_666>",
|
| 673 |
+
"<SPECIAL_667>",
|
| 674 |
+
"<SPECIAL_668>",
|
| 675 |
+
"<SPECIAL_669>",
|
| 676 |
+
"<SPECIAL_670>",
|
| 677 |
+
"<SPECIAL_671>",
|
| 678 |
+
"<SPECIAL_672>",
|
| 679 |
+
"<SPECIAL_673>",
|
| 680 |
+
"<SPECIAL_674>",
|
| 681 |
+
"<SPECIAL_675>",
|
| 682 |
+
"<SPECIAL_676>",
|
| 683 |
+
"<SPECIAL_677>",
|
| 684 |
+
"<SPECIAL_678>",
|
| 685 |
+
"<SPECIAL_679>",
|
| 686 |
+
"<SPECIAL_680>",
|
| 687 |
+
"<SPECIAL_681>",
|
| 688 |
+
"<SPECIAL_682>",
|
| 689 |
+
"<SPECIAL_683>",
|
| 690 |
+
"<SPECIAL_684>",
|
| 691 |
+
"<SPECIAL_685>",
|
| 692 |
+
"<SPECIAL_686>",
|
| 693 |
+
"<SPECIAL_687>",
|
| 694 |
+
"<SPECIAL_688>",
|
| 695 |
+
"<SPECIAL_689>",
|
| 696 |
+
"<SPECIAL_690>",
|
| 697 |
+
"<SPECIAL_691>",
|
| 698 |
+
"<SPECIAL_692>",
|
| 699 |
+
"<SPECIAL_693>",
|
| 700 |
+
"<SPECIAL_694>",
|
| 701 |
+
"<SPECIAL_695>",
|
| 702 |
+
"<SPECIAL_696>",
|
| 703 |
+
"<SPECIAL_697>",
|
| 704 |
+
"<SPECIAL_698>",
|
| 705 |
+
"<SPECIAL_699>",
|
| 706 |
+
"<SPECIAL_700>",
|
| 707 |
+
"<SPECIAL_701>",
|
| 708 |
+
"<SPECIAL_702>",
|
| 709 |
+
"<SPECIAL_703>",
|
| 710 |
+
"<SPECIAL_704>",
|
| 711 |
+
"<SPECIAL_705>",
|
| 712 |
+
"<SPECIAL_706>",
|
| 713 |
+
"<SPECIAL_707>",
|
| 714 |
+
"<SPECIAL_708>",
|
| 715 |
+
"<SPECIAL_709>",
|
| 716 |
+
"<SPECIAL_710>",
|
| 717 |
+
"<SPECIAL_711>",
|
| 718 |
+
"<SPECIAL_712>",
|
| 719 |
+
"<SPECIAL_713>",
|
| 720 |
+
"<SPECIAL_714>",
|
| 721 |
+
"<SPECIAL_715>",
|
| 722 |
+
"<SPECIAL_716>",
|
| 723 |
+
"<SPECIAL_717>",
|
| 724 |
+
"<SPECIAL_718>",
|
| 725 |
+
"<SPECIAL_719>",
|
| 726 |
+
"<SPECIAL_720>",
|
| 727 |
+
"<SPECIAL_721>",
|
| 728 |
+
"<SPECIAL_722>",
|
| 729 |
+
"<SPECIAL_723>",
|
| 730 |
+
"<SPECIAL_724>",
|
| 731 |
+
"<SPECIAL_725>",
|
| 732 |
+
"<SPECIAL_726>",
|
| 733 |
+
"<SPECIAL_727>",
|
| 734 |
+
"<SPECIAL_728>",
|
| 735 |
+
"<SPECIAL_729>",
|
| 736 |
+
"<SPECIAL_730>",
|
| 737 |
+
"<SPECIAL_731>",
|
| 738 |
+
"<SPECIAL_732>",
|
| 739 |
+
"<SPECIAL_733>",
|
| 740 |
+
"<SPECIAL_734>",
|
| 741 |
+
"<SPECIAL_735>",
|
| 742 |
+
"<SPECIAL_736>",
|
| 743 |
+
"<SPECIAL_737>",
|
| 744 |
+
"<SPECIAL_738>",
|
| 745 |
+
"<SPECIAL_739>",
|
| 746 |
+
"<SPECIAL_740>",
|
| 747 |
+
"<SPECIAL_741>",
|
| 748 |
+
"<SPECIAL_742>",
|
| 749 |
+
"<SPECIAL_743>",
|
| 750 |
+
"<SPECIAL_744>",
|
| 751 |
+
"<SPECIAL_745>",
|
| 752 |
+
"<SPECIAL_746>",
|
| 753 |
+
"<SPECIAL_747>",
|
| 754 |
+
"<SPECIAL_748>",
|
| 755 |
+
"<SPECIAL_749>",
|
| 756 |
+
"<SPECIAL_750>",
|
| 757 |
+
"<SPECIAL_751>",
|
| 758 |
+
"<SPECIAL_752>",
|
| 759 |
+
"<SPECIAL_753>",
|
| 760 |
+
"<SPECIAL_754>",
|
| 761 |
+
"<SPECIAL_755>",
|
| 762 |
+
"<SPECIAL_756>",
|
| 763 |
+
"<SPECIAL_757>",
|
| 764 |
+
"<SPECIAL_758>",
|
| 765 |
+
"<SPECIAL_759>",
|
| 766 |
+
"<SPECIAL_760>",
|
| 767 |
+
"<SPECIAL_761>",
|
| 768 |
+
"<SPECIAL_762>",
|
| 769 |
+
"<SPECIAL_763>",
|
| 770 |
+
"<SPECIAL_764>",
|
| 771 |
+
"<SPECIAL_765>",
|
| 772 |
+
"<SPECIAL_766>",
|
| 773 |
+
"<SPECIAL_767>",
|
| 774 |
+
"<SPECIAL_768>",
|
| 775 |
+
"<SPECIAL_769>",
|
| 776 |
+
"<SPECIAL_770>",
|
| 777 |
+
"<SPECIAL_771>",
|
| 778 |
+
"<SPECIAL_772>",
|
| 779 |
+
"<SPECIAL_773>",
|
| 780 |
+
"<SPECIAL_774>",
|
| 781 |
+
"<SPECIAL_775>",
|
| 782 |
+
"<SPECIAL_776>",
|
| 783 |
+
"<SPECIAL_777>",
|
| 784 |
+
"<SPECIAL_778>",
|
| 785 |
+
"<SPECIAL_779>",
|
| 786 |
+
"<SPECIAL_780>",
|
| 787 |
+
"<SPECIAL_781>",
|
| 788 |
+
"<SPECIAL_782>",
|
| 789 |
+
"<SPECIAL_783>",
|
| 790 |
+
"<SPECIAL_784>",
|
| 791 |
+
"<SPECIAL_785>",
|
| 792 |
+
"<SPECIAL_786>",
|
| 793 |
+
"<SPECIAL_787>",
|
| 794 |
+
"<SPECIAL_788>",
|
| 795 |
+
"<SPECIAL_789>",
|
| 796 |
+
"<SPECIAL_790>",
|
| 797 |
+
"<SPECIAL_791>",
|
| 798 |
+
"<SPECIAL_792>",
|
| 799 |
+
"<SPECIAL_793>",
|
| 800 |
+
"<SPECIAL_794>",
|
| 801 |
+
"<SPECIAL_795>",
|
| 802 |
+
"<SPECIAL_796>",
|
| 803 |
+
"<SPECIAL_797>",
|
| 804 |
+
"<SPECIAL_798>",
|
| 805 |
+
"<SPECIAL_799>",
|
| 806 |
+
"<SPECIAL_800>",
|
| 807 |
+
"<SPECIAL_801>",
|
| 808 |
+
"<SPECIAL_802>",
|
| 809 |
+
"<SPECIAL_803>",
|
| 810 |
+
"<SPECIAL_804>",
|
| 811 |
+
"<SPECIAL_805>",
|
| 812 |
+
"<SPECIAL_806>",
|
| 813 |
+
"<SPECIAL_807>",
|
| 814 |
+
"<SPECIAL_808>",
|
| 815 |
+
"<SPECIAL_809>",
|
| 816 |
+
"<SPECIAL_810>",
|
| 817 |
+
"<SPECIAL_811>",
|
| 818 |
+
"<SPECIAL_812>",
|
| 819 |
+
"<SPECIAL_813>",
|
| 820 |
+
"<SPECIAL_814>",
|
| 821 |
+
"<SPECIAL_815>",
|
| 822 |
+
"<SPECIAL_816>",
|
| 823 |
+
"<SPECIAL_817>",
|
| 824 |
+
"<SPECIAL_818>",
|
| 825 |
+
"<SPECIAL_819>",
|
| 826 |
+
"<SPECIAL_820>",
|
| 827 |
+
"<SPECIAL_821>",
|
| 828 |
+
"<SPECIAL_822>",
|
| 829 |
+
"<SPECIAL_823>",
|
| 830 |
+
"<SPECIAL_824>",
|
| 831 |
+
"<SPECIAL_825>",
|
| 832 |
+
"<SPECIAL_826>",
|
| 833 |
+
"<SPECIAL_827>",
|
| 834 |
+
"<SPECIAL_828>",
|
| 835 |
+
"<SPECIAL_829>",
|
| 836 |
+
"<SPECIAL_830>",
|
| 837 |
+
"<SPECIAL_831>",
|
| 838 |
+
"<SPECIAL_832>",
|
| 839 |
+
"<SPECIAL_833>",
|
| 840 |
+
"<SPECIAL_834>",
|
| 841 |
+
"<SPECIAL_835>",
|
| 842 |
+
"<SPECIAL_836>",
|
| 843 |
+
"<SPECIAL_837>",
|
| 844 |
+
"<SPECIAL_838>",
|
| 845 |
+
"<SPECIAL_839>",
|
| 846 |
+
"<SPECIAL_840>",
|
| 847 |
+
"<SPECIAL_841>",
|
| 848 |
+
"<SPECIAL_842>",
|
| 849 |
+
"<SPECIAL_843>",
|
| 850 |
+
"<SPECIAL_844>",
|
| 851 |
+
"<SPECIAL_845>",
|
| 852 |
+
"<SPECIAL_846>",
|
| 853 |
+
"<SPECIAL_847>",
|
| 854 |
+
"<SPECIAL_848>",
|
| 855 |
+
"<SPECIAL_849>",
|
| 856 |
+
"<SPECIAL_850>",
|
| 857 |
+
"<SPECIAL_851>",
|
| 858 |
+
"<SPECIAL_852>",
|
| 859 |
+
"<SPECIAL_853>",
|
| 860 |
+
"<SPECIAL_854>",
|
| 861 |
+
"<SPECIAL_855>",
|
| 862 |
+
"<SPECIAL_856>",
|
| 863 |
+
"<SPECIAL_857>",
|
| 864 |
+
"<SPECIAL_858>",
|
| 865 |
+
"<SPECIAL_859>",
|
| 866 |
+
"<SPECIAL_860>",
|
| 867 |
+
"<SPECIAL_861>",
|
| 868 |
+
"<SPECIAL_862>",
|
| 869 |
+
"<SPECIAL_863>",
|
| 870 |
+
"<SPECIAL_864>",
|
| 871 |
+
"<SPECIAL_865>",
|
| 872 |
+
"<SPECIAL_866>",
|
| 873 |
+
"<SPECIAL_867>",
|
| 874 |
+
"<SPECIAL_868>",
|
| 875 |
+
"<SPECIAL_869>",
|
| 876 |
+
"<SPECIAL_870>",
|
| 877 |
+
"<SPECIAL_871>",
|
| 878 |
+
"<SPECIAL_872>",
|
| 879 |
+
"<SPECIAL_873>",
|
| 880 |
+
"<SPECIAL_874>",
|
| 881 |
+
"<SPECIAL_875>",
|
| 882 |
+
"<SPECIAL_876>",
|
| 883 |
+
"<SPECIAL_877>",
|
| 884 |
+
"<SPECIAL_878>",
|
| 885 |
+
"<SPECIAL_879>",
|
| 886 |
+
"<SPECIAL_880>",
|
| 887 |
+
"<SPECIAL_881>",
|
| 888 |
+
"<SPECIAL_882>",
|
| 889 |
+
"<SPECIAL_883>",
|
| 890 |
+
"<SPECIAL_884>",
|
| 891 |
+
"<SPECIAL_885>",
|
| 892 |
+
"<SPECIAL_886>",
|
| 893 |
+
"<SPECIAL_887>",
|
| 894 |
+
"<SPECIAL_888>",
|
| 895 |
+
"<SPECIAL_889>",
|
| 896 |
+
"<SPECIAL_890>",
|
| 897 |
+
"<SPECIAL_891>",
|
| 898 |
+
"<SPECIAL_892>",
|
| 899 |
+
"<SPECIAL_893>",
|
| 900 |
+
"<SPECIAL_894>",
|
| 901 |
+
"<SPECIAL_895>",
|
| 902 |
+
"<SPECIAL_896>",
|
| 903 |
+
"<SPECIAL_897>",
|
| 904 |
+
"<SPECIAL_898>",
|
| 905 |
+
"<SPECIAL_899>",
|
| 906 |
+
"<SPECIAL_900>",
|
| 907 |
+
"<SPECIAL_901>",
|
| 908 |
+
"<SPECIAL_902>",
|
| 909 |
+
"<SPECIAL_903>",
|
| 910 |
+
"<SPECIAL_904>",
|
| 911 |
+
"<SPECIAL_905>",
|
| 912 |
+
"<SPECIAL_906>",
|
| 913 |
+
"<SPECIAL_907>",
|
| 914 |
+
"<SPECIAL_908>",
|
| 915 |
+
"<SPECIAL_909>",
|
| 916 |
+
"<SPECIAL_910>",
|
| 917 |
+
"<SPECIAL_911>",
|
| 918 |
+
"<SPECIAL_912>",
|
| 919 |
+
"<SPECIAL_913>",
|
| 920 |
+
"<SPECIAL_914>",
|
| 921 |
+
"<SPECIAL_915>",
|
| 922 |
+
"<SPECIAL_916>",
|
| 923 |
+
"<SPECIAL_917>",
|
| 924 |
+
"<SPECIAL_918>",
|
| 925 |
+
"<SPECIAL_919>",
|
| 926 |
+
"<SPECIAL_920>",
|
| 927 |
+
"<SPECIAL_921>",
|
| 928 |
+
"<SPECIAL_922>",
|
| 929 |
+
"<SPECIAL_923>",
|
| 930 |
+
"<SPECIAL_924>",
|
| 931 |
+
"<SPECIAL_925>",
|
| 932 |
+
"<SPECIAL_926>",
|
| 933 |
+
"<SPECIAL_927>",
|
| 934 |
+
"<SPECIAL_928>",
|
| 935 |
+
"<SPECIAL_929>",
|
| 936 |
+
"<SPECIAL_930>",
|
| 937 |
+
"<SPECIAL_931>",
|
| 938 |
+
"<SPECIAL_932>",
|
| 939 |
+
"<SPECIAL_933>",
|
| 940 |
+
"<SPECIAL_934>",
|
| 941 |
+
"<SPECIAL_935>",
|
| 942 |
+
"<SPECIAL_936>",
|
| 943 |
+
"<SPECIAL_937>",
|
| 944 |
+
"<SPECIAL_938>",
|
| 945 |
+
"<SPECIAL_939>",
|
| 946 |
+
"<SPECIAL_940>",
|
| 947 |
+
"<SPECIAL_941>",
|
| 948 |
+
"<SPECIAL_942>",
|
| 949 |
+
"<SPECIAL_943>",
|
| 950 |
+
"<SPECIAL_944>",
|
| 951 |
+
"<SPECIAL_945>",
|
| 952 |
+
"<SPECIAL_946>",
|
| 953 |
+
"<SPECIAL_947>",
|
| 954 |
+
"<SPECIAL_948>",
|
| 955 |
+
"<SPECIAL_949>",
|
| 956 |
+
"<SPECIAL_950>",
|
| 957 |
+
"<SPECIAL_951>",
|
| 958 |
+
"<SPECIAL_952>",
|
| 959 |
+
"<SPECIAL_953>",
|
| 960 |
+
"<SPECIAL_954>",
|
| 961 |
+
"<SPECIAL_955>",
|
| 962 |
+
"<SPECIAL_956>",
|
| 963 |
+
"<SPECIAL_957>",
|
| 964 |
+
"<SPECIAL_958>",
|
| 965 |
+
"<SPECIAL_959>",
|
| 966 |
+
"<SPECIAL_960>",
|
| 967 |
+
"<SPECIAL_961>",
|
| 968 |
+
"<SPECIAL_962>",
|
| 969 |
+
"<SPECIAL_963>",
|
| 970 |
+
"<SPECIAL_964>",
|
| 971 |
+
"<SPECIAL_965>",
|
| 972 |
+
"<SPECIAL_966>",
|
| 973 |
+
"<SPECIAL_967>",
|
| 974 |
+
"<SPECIAL_968>",
|
| 975 |
+
"<SPECIAL_969>",
|
| 976 |
+
"<SPECIAL_970>",
|
| 977 |
+
"<SPECIAL_971>",
|
| 978 |
+
"<SPECIAL_972>",
|
| 979 |
+
"<SPECIAL_973>",
|
| 980 |
+
"<SPECIAL_974>",
|
| 981 |
+
"<SPECIAL_975>",
|
| 982 |
+
"<SPECIAL_976>",
|
| 983 |
+
"<SPECIAL_977>",
|
| 984 |
+
"<SPECIAL_978>",
|
| 985 |
+
"<SPECIAL_979>",
|
| 986 |
+
"<SPECIAL_980>",
|
| 987 |
+
"<SPECIAL_981>",
|
| 988 |
+
"<SPECIAL_982>",
|
| 989 |
+
"<SPECIAL_983>",
|
| 990 |
+
"<SPECIAL_984>",
|
| 991 |
+
"<SPECIAL_985>",
|
| 992 |
+
"<SPECIAL_986>",
|
| 993 |
+
"<SPECIAL_987>",
|
| 994 |
+
"<SPECIAL_988>",
|
| 995 |
+
"<SPECIAL_989>",
|
| 996 |
+
"<SPECIAL_990>",
|
| 997 |
+
"<SPECIAL_991>",
|
| 998 |
+
"<SPECIAL_992>",
|
| 999 |
+
"<SPECIAL_993>",
|
| 1000 |
+
"<SPECIAL_994>",
|
| 1001 |
+
"<SPECIAL_995>",
|
| 1002 |
+
"<SPECIAL_996>",
|
| 1003 |
+
"<SPECIAL_997>",
|
| 1004 |
+
"<SPECIAL_998>",
|
| 1005 |
+
"<SPECIAL_999>"
|
| 1006 |
+
],
|
| 1007 |
+
"backend": "tokenizers",
|
| 1008 |
+
"bos_token": "<s>",
|
| 1009 |
+
"clean_up_tokenization_spaces": false,
|
| 1010 |
+
"eos_token": "</s>",
|
| 1011 |
+
"extra_special_tokens": [
|
| 1012 |
+
"<unk>",
|
| 1013 |
+
"<s>",
|
| 1014 |
+
"</s>",
|
| 1015 |
+
"[INST]",
|
| 1016 |
+
"[/INST]",
|
| 1017 |
+
"[AVAILABLE_TOOLS]",
|
| 1018 |
+
"[/AVAILABLE_TOOLS]",
|
| 1019 |
+
"[TOOL_RESULTS]",
|
| 1020 |
+
"[/TOOL_RESULTS]",
|
| 1021 |
+
"[TOOL_CALLS]",
|
| 1022 |
+
"[IMG]",
|
| 1023 |
+
"<pad>",
|
| 1024 |
+
"[IMG_BREAK]",
|
| 1025 |
+
"[IMG_END]",
|
| 1026 |
+
"[PREFIX]",
|
| 1027 |
+
"[MIDDLE]",
|
| 1028 |
+
"[SUFFIX]",
|
| 1029 |
+
"[SYSTEM_PROMPT]",
|
| 1030 |
+
"[/SYSTEM_PROMPT]",
|
| 1031 |
+
"[TOOL_CONTENT]",
|
| 1032 |
+
"<SPECIAL_20>",
|
| 1033 |
+
"<SPECIAL_21>",
|
| 1034 |
+
"<SPECIAL_22>",
|
| 1035 |
+
"<SPECIAL_23>",
|
| 1036 |
+
"[AUDIO]",
|
| 1037 |
+
"[BEGIN_AUDIO]",
|
| 1038 |
+
"<SPECIAL_26>",
|
| 1039 |
+
"<SPECIAL_27>",
|
| 1040 |
+
"<SPECIAL_28>",
|
| 1041 |
+
"<SPECIAL_29>",
|
| 1042 |
+
"<SPECIAL_30>",
|
| 1043 |
+
"<SPECIAL_31>",
|
| 1044 |
+
"[ARGS]",
|
| 1045 |
+
"[CALL_ID]",
|
| 1046 |
+
"[THINK]",
|
| 1047 |
+
"[/THINK]",
|
| 1048 |
+
"<SPECIAL_36>",
|
| 1049 |
+
"<SPECIAL_37>",
|
| 1050 |
+
"<SPECIAL_38>",
|
| 1051 |
+
"<SPECIAL_39>",
|
| 1052 |
+
"<SPECIAL_40>",
|
| 1053 |
+
"<SPECIAL_41>",
|
| 1054 |
+
"<SPECIAL_42>",
|
| 1055 |
+
"<SPECIAL_43>",
|
| 1056 |
+
"<SPECIAL_44>",
|
| 1057 |
+
"<SPECIAL_45>",
|
| 1058 |
+
"<SPECIAL_46>",
|
| 1059 |
+
"<SPECIAL_47>",
|
| 1060 |
+
"<SPECIAL_48>",
|
| 1061 |
+
"<SPECIAL_49>",
|
| 1062 |
+
"<SPECIAL_50>",
|
| 1063 |
+
"<SPECIAL_51>",
|
| 1064 |
+
"<SPECIAL_52>",
|
| 1065 |
+
"<SPECIAL_53>",
|
| 1066 |
+
"<SPECIAL_54>",
|
| 1067 |
+
"<SPECIAL_55>",
|
| 1068 |
+
"<SPECIAL_56>",
|
| 1069 |
+
"<SPECIAL_57>",
|
| 1070 |
+
"<SPECIAL_58>",
|
| 1071 |
+
"<SPECIAL_59>",
|
| 1072 |
+
"<SPECIAL_60>",
|
| 1073 |
+
"<SPECIAL_61>",
|
| 1074 |
+
"<SPECIAL_62>",
|
| 1075 |
+
"<SPECIAL_63>",
|
| 1076 |
+
"<SPECIAL_64>",
|
| 1077 |
+
"<SPECIAL_65>",
|
| 1078 |
+
"<SPECIAL_66>",
|
| 1079 |
+
"<SPECIAL_67>",
|
| 1080 |
+
"<SPECIAL_68>",
|
| 1081 |
+
"<SPECIAL_69>",
|
| 1082 |
+
"<SPECIAL_70>",
|
| 1083 |
+
"<SPECIAL_71>",
|
| 1084 |
+
"<SPECIAL_72>",
|
| 1085 |
+
"<SPECIAL_73>",
|
| 1086 |
+
"<SPECIAL_74>",
|
| 1087 |
+
"<SPECIAL_75>",
|
| 1088 |
+
"<SPECIAL_76>",
|
| 1089 |
+
"<SPECIAL_77>",
|
| 1090 |
+
"<SPECIAL_78>",
|
| 1091 |
+
"<SPECIAL_79>",
|
| 1092 |
+
"<SPECIAL_80>",
|
| 1093 |
+
"<SPECIAL_81>",
|
| 1094 |
+
"<SPECIAL_82>",
|
| 1095 |
+
"<SPECIAL_83>",
|
| 1096 |
+
"<SPECIAL_84>",
|
| 1097 |
+
"<SPECIAL_85>",
|
| 1098 |
+
"<SPECIAL_86>",
|
| 1099 |
+
"<SPECIAL_87>",
|
| 1100 |
+
"<SPECIAL_88>",
|
| 1101 |
+
"<SPECIAL_89>",
|
| 1102 |
+
"<SPECIAL_90>",
|
| 1103 |
+
"<SPECIAL_91>",
|
| 1104 |
+
"<SPECIAL_92>",
|
| 1105 |
+
"<SPECIAL_93>",
|
| 1106 |
+
"<SPECIAL_94>",
|
| 1107 |
+
"<SPECIAL_95>",
|
| 1108 |
+
"<SPECIAL_96>",
|
| 1109 |
+
"<SPECIAL_97>",
|
| 1110 |
+
"<SPECIAL_98>",
|
| 1111 |
+
"<SPECIAL_99>",
|
| 1112 |
+
"<SPECIAL_100>",
|
| 1113 |
+
"<SPECIAL_101>",
|
| 1114 |
+
"<SPECIAL_102>",
|
| 1115 |
+
"<SPECIAL_103>",
|
| 1116 |
+
"<SPECIAL_104>",
|
| 1117 |
+
"<SPECIAL_105>",
|
| 1118 |
+
"<SPECIAL_106>",
|
| 1119 |
+
"<SPECIAL_107>",
|
| 1120 |
+
"<SPECIAL_108>",
|
| 1121 |
+
"<SPECIAL_109>",
|
| 1122 |
+
"<SPECIAL_110>",
|
| 1123 |
+
"<SPECIAL_111>",
|
| 1124 |
+
"<SPECIAL_112>",
|
| 1125 |
+
"<SPECIAL_113>",
|
| 1126 |
+
"<SPECIAL_114>",
|
| 1127 |
+
"<SPECIAL_115>",
|
| 1128 |
+
"<SPECIAL_116>",
|
| 1129 |
+
"<SPECIAL_117>",
|
| 1130 |
+
"<SPECIAL_118>",
|
| 1131 |
+
"<SPECIAL_119>",
|
| 1132 |
+
"<SPECIAL_120>",
|
| 1133 |
+
"<SPECIAL_121>",
|
| 1134 |
+
"<SPECIAL_122>",
|
| 1135 |
+
"<SPECIAL_123>",
|
| 1136 |
+
"<SPECIAL_124>",
|
| 1137 |
+
"<SPECIAL_125>",
|
| 1138 |
+
"<SPECIAL_126>",
|
| 1139 |
+
"<SPECIAL_127>",
|
| 1140 |
+
"<SPECIAL_128>",
|
| 1141 |
+
"<SPECIAL_129>",
|
| 1142 |
+
"<SPECIAL_130>",
|
| 1143 |
+
"<SPECIAL_131>",
|
| 1144 |
+
"<SPECIAL_132>",
|
| 1145 |
+
"<SPECIAL_133>",
|
| 1146 |
+
"<SPECIAL_134>",
|
| 1147 |
+
"<SPECIAL_135>",
|
| 1148 |
+
"<SPECIAL_136>",
|
| 1149 |
+
"<SPECIAL_137>",
|
| 1150 |
+
"<SPECIAL_138>",
|
| 1151 |
+
"<SPECIAL_139>",
|
| 1152 |
+
"<SPECIAL_140>",
|
| 1153 |
+
"<SPECIAL_141>",
|
| 1154 |
+
"<SPECIAL_142>",
|
| 1155 |
+
"<SPECIAL_143>",
|
| 1156 |
+
"<SPECIAL_144>",
|
| 1157 |
+
"<SPECIAL_145>",
|
| 1158 |
+
"<SPECIAL_146>",
|
| 1159 |
+
"<SPECIAL_147>",
|
| 1160 |
+
"<SPECIAL_148>",
|
| 1161 |
+
"<SPECIAL_149>",
|
| 1162 |
+
"<SPECIAL_150>",
|
| 1163 |
+
"<SPECIAL_151>",
|
| 1164 |
+
"<SPECIAL_152>",
|
| 1165 |
+
"<SPECIAL_153>",
|
| 1166 |
+
"<SPECIAL_154>",
|
| 1167 |
+
"<SPECIAL_155>",
|
| 1168 |
+
"<SPECIAL_156>",
|
| 1169 |
+
"<SPECIAL_157>",
|
| 1170 |
+
"<SPECIAL_158>",
|
| 1171 |
+
"<SPECIAL_159>",
|
| 1172 |
+
"<SPECIAL_160>",
|
| 1173 |
+
"<SPECIAL_161>",
|
| 1174 |
+
"<SPECIAL_162>",
|
| 1175 |
+
"<SPECIAL_163>",
|
| 1176 |
+
"<SPECIAL_164>",
|
| 1177 |
+
"<SPECIAL_165>",
|
| 1178 |
+
"<SPECIAL_166>",
|
| 1179 |
+
"<SPECIAL_167>",
|
| 1180 |
+
"<SPECIAL_168>",
|
| 1181 |
+
"<SPECIAL_169>",
|
| 1182 |
+
"<SPECIAL_170>",
|
| 1183 |
+
"<SPECIAL_171>",
|
| 1184 |
+
"<SPECIAL_172>",
|
| 1185 |
+
"<SPECIAL_173>",
|
| 1186 |
+
"<SPECIAL_174>",
|
| 1187 |
+
"<SPECIAL_175>",
|
| 1188 |
+
"<SPECIAL_176>",
|
| 1189 |
+
"<SPECIAL_177>",
|
| 1190 |
+
"<SPECIAL_178>",
|
| 1191 |
+
"<SPECIAL_179>",
|
| 1192 |
+
"<SPECIAL_180>",
|
| 1193 |
+
"<SPECIAL_181>",
|
| 1194 |
+
"<SPECIAL_182>",
|
| 1195 |
+
"<SPECIAL_183>",
|
| 1196 |
+
"<SPECIAL_184>",
|
| 1197 |
+
"<SPECIAL_185>",
|
| 1198 |
+
"<SPECIAL_186>",
|
| 1199 |
+
"<SPECIAL_187>",
|
| 1200 |
+
"<SPECIAL_188>",
|
| 1201 |
+
"<SPECIAL_189>",
|
| 1202 |
+
"<SPECIAL_190>",
|
| 1203 |
+
"<SPECIAL_191>",
|
| 1204 |
+
"<SPECIAL_192>",
|
| 1205 |
+
"<SPECIAL_193>",
|
| 1206 |
+
"<SPECIAL_194>",
|
| 1207 |
+
"<SPECIAL_195>",
|
| 1208 |
+
"<SPECIAL_196>",
|
| 1209 |
+
"<SPECIAL_197>",
|
| 1210 |
+
"<SPECIAL_198>",
|
| 1211 |
+
"<SPECIAL_199>",
|
| 1212 |
+
"<SPECIAL_200>",
|
| 1213 |
+
"<SPECIAL_201>",
|
| 1214 |
+
"<SPECIAL_202>",
|
| 1215 |
+
"<SPECIAL_203>",
|
| 1216 |
+
"<SPECIAL_204>",
|
| 1217 |
+
"<SPECIAL_205>",
|
| 1218 |
+
"<SPECIAL_206>",
|
| 1219 |
+
"<SPECIAL_207>",
|
| 1220 |
+
"<SPECIAL_208>",
|
| 1221 |
+
"<SPECIAL_209>",
|
| 1222 |
+
"<SPECIAL_210>",
|
| 1223 |
+
"<SPECIAL_211>",
|
| 1224 |
+
"<SPECIAL_212>",
|
| 1225 |
+
"<SPECIAL_213>",
|
| 1226 |
+
"<SPECIAL_214>",
|
| 1227 |
+
"<SPECIAL_215>",
|
| 1228 |
+
"<SPECIAL_216>",
|
| 1229 |
+
"<SPECIAL_217>",
|
| 1230 |
+
"<SPECIAL_218>",
|
| 1231 |
+
"<SPECIAL_219>",
|
| 1232 |
+
"<SPECIAL_220>",
|
| 1233 |
+
"<SPECIAL_221>",
|
| 1234 |
+
"<SPECIAL_222>",
|
| 1235 |
+
"<SPECIAL_223>",
|
| 1236 |
+
"<SPECIAL_224>",
|
| 1237 |
+
"<SPECIAL_225>",
|
| 1238 |
+
"<SPECIAL_226>",
|
| 1239 |
+
"<SPECIAL_227>",
|
| 1240 |
+
"<SPECIAL_228>",
|
| 1241 |
+
"<SPECIAL_229>",
|
| 1242 |
+
"<SPECIAL_230>",
|
| 1243 |
+
"<SPECIAL_231>",
|
| 1244 |
+
"<SPECIAL_232>",
|
| 1245 |
+
"<SPECIAL_233>",
|
| 1246 |
+
"<SPECIAL_234>",
|
| 1247 |
+
"<SPECIAL_235>",
|
| 1248 |
+
"<SPECIAL_236>",
|
| 1249 |
+
"<SPECIAL_237>",
|
| 1250 |
+
"<SPECIAL_238>",
|
| 1251 |
+
"<SPECIAL_239>",
|
| 1252 |
+
"<SPECIAL_240>",
|
| 1253 |
+
"<SPECIAL_241>",
|
| 1254 |
+
"<SPECIAL_242>",
|
| 1255 |
+
"<SPECIAL_243>",
|
| 1256 |
+
"<SPECIAL_244>",
|
| 1257 |
+
"<SPECIAL_245>",
|
| 1258 |
+
"<SPECIAL_246>",
|
| 1259 |
+
"<SPECIAL_247>",
|
| 1260 |
+
"<SPECIAL_248>",
|
| 1261 |
+
"<SPECIAL_249>",
|
| 1262 |
+
"<SPECIAL_250>",
|
| 1263 |
+
"<SPECIAL_251>",
|
| 1264 |
+
"<SPECIAL_252>",
|
| 1265 |
+
"<SPECIAL_253>",
|
| 1266 |
+
"<SPECIAL_254>",
|
| 1267 |
+
"<SPECIAL_255>",
|
| 1268 |
+
"<SPECIAL_256>",
|
| 1269 |
+
"<SPECIAL_257>",
|
| 1270 |
+
"<SPECIAL_258>",
|
| 1271 |
+
"<SPECIAL_259>",
|
| 1272 |
+
"<SPECIAL_260>",
|
| 1273 |
+
"<SPECIAL_261>",
|
| 1274 |
+
"<SPECIAL_262>",
|
| 1275 |
+
"<SPECIAL_263>",
|
| 1276 |
+
"<SPECIAL_264>",
|
| 1277 |
+
"<SPECIAL_265>",
|
| 1278 |
+
"<SPECIAL_266>",
|
| 1279 |
+
"<SPECIAL_267>",
|
| 1280 |
+
"<SPECIAL_268>",
|
| 1281 |
+
"<SPECIAL_269>",
|
| 1282 |
+
"<SPECIAL_270>",
|
| 1283 |
+
"<SPECIAL_271>",
|
| 1284 |
+
"<SPECIAL_272>",
|
| 1285 |
+
"<SPECIAL_273>",
|
| 1286 |
+
"<SPECIAL_274>",
|
| 1287 |
+
"<SPECIAL_275>",
|
| 1288 |
+
"<SPECIAL_276>",
|
| 1289 |
+
"<SPECIAL_277>",
|
| 1290 |
+
"<SPECIAL_278>",
|
| 1291 |
+
"<SPECIAL_279>",
|
| 1292 |
+
"<SPECIAL_280>",
|
| 1293 |
+
"<SPECIAL_281>",
|
| 1294 |
+
"<SPECIAL_282>",
|
| 1295 |
+
"<SPECIAL_283>",
|
| 1296 |
+
"<SPECIAL_284>",
|
| 1297 |
+
"<SPECIAL_285>",
|
| 1298 |
+
"<SPECIAL_286>",
|
| 1299 |
+
"<SPECIAL_287>",
|
| 1300 |
+
"<SPECIAL_288>",
|
| 1301 |
+
"<SPECIAL_289>",
|
| 1302 |
+
"<SPECIAL_290>",
|
| 1303 |
+
"<SPECIAL_291>",
|
| 1304 |
+
"<SPECIAL_292>",
|
| 1305 |
+
"<SPECIAL_293>",
|
| 1306 |
+
"<SPECIAL_294>",
|
| 1307 |
+
"<SPECIAL_295>",
|
| 1308 |
+
"<SPECIAL_296>",
|
| 1309 |
+
"<SPECIAL_297>",
|
| 1310 |
+
"<SPECIAL_298>",
|
| 1311 |
+
"<SPECIAL_299>",
|
| 1312 |
+
"<SPECIAL_300>",
|
| 1313 |
+
"<SPECIAL_301>",
|
| 1314 |
+
"<SPECIAL_302>",
|
| 1315 |
+
"<SPECIAL_303>",
|
| 1316 |
+
"<SPECIAL_304>",
|
| 1317 |
+
"<SPECIAL_305>",
|
| 1318 |
+
"<SPECIAL_306>",
|
| 1319 |
+
"<SPECIAL_307>",
|
| 1320 |
+
"<SPECIAL_308>",
|
| 1321 |
+
"<SPECIAL_309>",
|
| 1322 |
+
"<SPECIAL_310>",
|
| 1323 |
+
"<SPECIAL_311>",
|
| 1324 |
+
"<SPECIAL_312>",
|
| 1325 |
+
"<SPECIAL_313>",
|
| 1326 |
+
"<SPECIAL_314>",
|
| 1327 |
+
"<SPECIAL_315>",
|
| 1328 |
+
"<SPECIAL_316>",
|
| 1329 |
+
"<SPECIAL_317>",
|
| 1330 |
+
"<SPECIAL_318>",
|
| 1331 |
+
"<SPECIAL_319>",
|
| 1332 |
+
"<SPECIAL_320>",
|
| 1333 |
+
"<SPECIAL_321>",
|
| 1334 |
+
"<SPECIAL_322>",
|
| 1335 |
+
"<SPECIAL_323>",
|
| 1336 |
+
"<SPECIAL_324>",
|
| 1337 |
+
"<SPECIAL_325>",
|
| 1338 |
+
"<SPECIAL_326>",
|
| 1339 |
+
"<SPECIAL_327>",
|
| 1340 |
+
"<SPECIAL_328>",
|
| 1341 |
+
"<SPECIAL_329>",
|
| 1342 |
+
"<SPECIAL_330>",
|
| 1343 |
+
"<SPECIAL_331>",
|
| 1344 |
+
"<SPECIAL_332>",
|
| 1345 |
+
"<SPECIAL_333>",
|
| 1346 |
+
"<SPECIAL_334>",
|
| 1347 |
+
"<SPECIAL_335>",
|
| 1348 |
+
"<SPECIAL_336>",
|
| 1349 |
+
"<SPECIAL_337>",
|
| 1350 |
+
"<SPECIAL_338>",
|
| 1351 |
+
"<SPECIAL_339>",
|
| 1352 |
+
"<SPECIAL_340>",
|
| 1353 |
+
"<SPECIAL_341>",
|
| 1354 |
+
"<SPECIAL_342>",
|
| 1355 |
+
"<SPECIAL_343>",
|
| 1356 |
+
"<SPECIAL_344>",
|
| 1357 |
+
"<SPECIAL_345>",
|
| 1358 |
+
"<SPECIAL_346>",
|
| 1359 |
+
"<SPECIAL_347>",
|
| 1360 |
+
"<SPECIAL_348>",
|
| 1361 |
+
"<SPECIAL_349>",
|
| 1362 |
+
"<SPECIAL_350>",
|
| 1363 |
+
"<SPECIAL_351>",
|
| 1364 |
+
"<SPECIAL_352>",
|
| 1365 |
+
"<SPECIAL_353>",
|
| 1366 |
+
"<SPECIAL_354>",
|
| 1367 |
+
"<SPECIAL_355>",
|
| 1368 |
+
"<SPECIAL_356>",
|
| 1369 |
+
"<SPECIAL_357>",
|
| 1370 |
+
"<SPECIAL_358>",
|
| 1371 |
+
"<SPECIAL_359>",
|
| 1372 |
+
"<SPECIAL_360>",
|
| 1373 |
+
"<SPECIAL_361>",
|
| 1374 |
+
"<SPECIAL_362>",
|
| 1375 |
+
"<SPECIAL_363>",
|
| 1376 |
+
"<SPECIAL_364>",
|
| 1377 |
+
"<SPECIAL_365>",
|
| 1378 |
+
"<SPECIAL_366>",
|
| 1379 |
+
"<SPECIAL_367>",
|
| 1380 |
+
"<SPECIAL_368>",
|
| 1381 |
+
"<SPECIAL_369>",
|
| 1382 |
+
"<SPECIAL_370>",
|
| 1383 |
+
"<SPECIAL_371>",
|
| 1384 |
+
"<SPECIAL_372>",
|
| 1385 |
+
"<SPECIAL_373>",
|
| 1386 |
+
"<SPECIAL_374>",
|
| 1387 |
+
"<SPECIAL_375>",
|
| 1388 |
+
"<SPECIAL_376>",
|
| 1389 |
+
"<SPECIAL_377>",
|
| 1390 |
+
"<SPECIAL_378>",
|
| 1391 |
+
"<SPECIAL_379>",
|
| 1392 |
+
"<SPECIAL_380>",
|
| 1393 |
+
"<SPECIAL_381>",
|
| 1394 |
+
"<SPECIAL_382>",
|
| 1395 |
+
"<SPECIAL_383>",
|
| 1396 |
+
"<SPECIAL_384>",
|
| 1397 |
+
"<SPECIAL_385>",
|
| 1398 |
+
"<SPECIAL_386>",
|
| 1399 |
+
"<SPECIAL_387>",
|
| 1400 |
+
"<SPECIAL_388>",
|
| 1401 |
+
"<SPECIAL_389>",
|
| 1402 |
+
"<SPECIAL_390>",
|
| 1403 |
+
"<SPECIAL_391>",
|
| 1404 |
+
"<SPECIAL_392>",
|
| 1405 |
+
"<SPECIAL_393>",
|
| 1406 |
+
"<SPECIAL_394>",
|
| 1407 |
+
"<SPECIAL_395>",
|
| 1408 |
+
"<SPECIAL_396>",
|
| 1409 |
+
"<SPECIAL_397>",
|
| 1410 |
+
"<SPECIAL_398>",
|
| 1411 |
+
"<SPECIAL_399>",
|
| 1412 |
+
"<SPECIAL_400>",
|
| 1413 |
+
"<SPECIAL_401>",
|
| 1414 |
+
"<SPECIAL_402>",
|
| 1415 |
+
"<SPECIAL_403>",
|
| 1416 |
+
"<SPECIAL_404>",
|
| 1417 |
+
"<SPECIAL_405>",
|
| 1418 |
+
"<SPECIAL_406>",
|
| 1419 |
+
"<SPECIAL_407>",
|
| 1420 |
+
"<SPECIAL_408>",
|
| 1421 |
+
"<SPECIAL_409>",
|
| 1422 |
+
"<SPECIAL_410>",
|
| 1423 |
+
"<SPECIAL_411>",
|
| 1424 |
+
"<SPECIAL_412>",
|
| 1425 |
+
"<SPECIAL_413>",
|
| 1426 |
+
"<SPECIAL_414>",
|
| 1427 |
+
"<SPECIAL_415>",
|
| 1428 |
+
"<SPECIAL_416>",
|
| 1429 |
+
"<SPECIAL_417>",
|
| 1430 |
+
"<SPECIAL_418>",
|
| 1431 |
+
"<SPECIAL_419>",
|
| 1432 |
+
"<SPECIAL_420>",
|
| 1433 |
+
"<SPECIAL_421>",
|
| 1434 |
+
"<SPECIAL_422>",
|
| 1435 |
+
"<SPECIAL_423>",
|
| 1436 |
+
"<SPECIAL_424>",
|
| 1437 |
+
"<SPECIAL_425>",
|
| 1438 |
+
"<SPECIAL_426>",
|
| 1439 |
+
"<SPECIAL_427>",
|
| 1440 |
+
"<SPECIAL_428>",
|
| 1441 |
+
"<SPECIAL_429>",
|
| 1442 |
+
"<SPECIAL_430>",
|
| 1443 |
+
"<SPECIAL_431>",
|
| 1444 |
+
"<SPECIAL_432>",
|
| 1445 |
+
"<SPECIAL_433>",
|
| 1446 |
+
"<SPECIAL_434>",
|
| 1447 |
+
"<SPECIAL_435>",
|
| 1448 |
+
"<SPECIAL_436>",
|
| 1449 |
+
"<SPECIAL_437>",
|
| 1450 |
+
"<SPECIAL_438>",
|
| 1451 |
+
"<SPECIAL_439>",
|
| 1452 |
+
"<SPECIAL_440>",
|
| 1453 |
+
"<SPECIAL_441>",
|
| 1454 |
+
"<SPECIAL_442>",
|
| 1455 |
+
"<SPECIAL_443>",
|
| 1456 |
+
"<SPECIAL_444>",
|
| 1457 |
+
"<SPECIAL_445>",
|
| 1458 |
+
"<SPECIAL_446>",
|
| 1459 |
+
"<SPECIAL_447>",
|
| 1460 |
+
"<SPECIAL_448>",
|
| 1461 |
+
"<SPECIAL_449>",
|
| 1462 |
+
"<SPECIAL_450>",
|
| 1463 |
+
"<SPECIAL_451>",
|
| 1464 |
+
"<SPECIAL_452>",
|
| 1465 |
+
"<SPECIAL_453>",
|
| 1466 |
+
"<SPECIAL_454>",
|
| 1467 |
+
"<SPECIAL_455>",
|
| 1468 |
+
"<SPECIAL_456>",
|
| 1469 |
+
"<SPECIAL_457>",
|
| 1470 |
+
"<SPECIAL_458>",
|
| 1471 |
+
"<SPECIAL_459>",
|
| 1472 |
+
"<SPECIAL_460>",
|
| 1473 |
+
"<SPECIAL_461>",
|
| 1474 |
+
"<SPECIAL_462>",
|
| 1475 |
+
"<SPECIAL_463>",
|
| 1476 |
+
"<SPECIAL_464>",
|
| 1477 |
+
"<SPECIAL_465>",
|
| 1478 |
+
"<SPECIAL_466>",
|
| 1479 |
+
"<SPECIAL_467>",
|
| 1480 |
+
"<SPECIAL_468>",
|
| 1481 |
+
"<SPECIAL_469>",
|
| 1482 |
+
"<SPECIAL_470>",
|
| 1483 |
+
"<SPECIAL_471>",
|
| 1484 |
+
"<SPECIAL_472>",
|
| 1485 |
+
"<SPECIAL_473>",
|
| 1486 |
+
"<SPECIAL_474>",
|
| 1487 |
+
"<SPECIAL_475>",
|
| 1488 |
+
"<SPECIAL_476>",
|
| 1489 |
+
"<SPECIAL_477>",
|
| 1490 |
+
"<SPECIAL_478>",
|
| 1491 |
+
"<SPECIAL_479>",
|
| 1492 |
+
"<SPECIAL_480>",
|
| 1493 |
+
"<SPECIAL_481>",
|
| 1494 |
+
"<SPECIAL_482>",
|
| 1495 |
+
"<SPECIAL_483>",
|
| 1496 |
+
"<SPECIAL_484>",
|
| 1497 |
+
"<SPECIAL_485>",
|
| 1498 |
+
"<SPECIAL_486>",
|
| 1499 |
+
"<SPECIAL_487>",
|
| 1500 |
+
"<SPECIAL_488>",
|
| 1501 |
+
"<SPECIAL_489>",
|
| 1502 |
+
"<SPECIAL_490>",
|
| 1503 |
+
"<SPECIAL_491>",
|
| 1504 |
+
"<SPECIAL_492>",
|
| 1505 |
+
"<SPECIAL_493>",
|
| 1506 |
+
"<SPECIAL_494>",
|
| 1507 |
+
"<SPECIAL_495>",
|
| 1508 |
+
"<SPECIAL_496>",
|
| 1509 |
+
"<SPECIAL_497>",
|
| 1510 |
+
"<SPECIAL_498>",
|
| 1511 |
+
"<SPECIAL_499>",
|
| 1512 |
+
"<SPECIAL_500>",
|
| 1513 |
+
"<SPECIAL_501>",
|
| 1514 |
+
"<SPECIAL_502>",
|
| 1515 |
+
"<SPECIAL_503>",
|
| 1516 |
+
"<SPECIAL_504>",
|
| 1517 |
+
"<SPECIAL_505>",
|
| 1518 |
+
"<SPECIAL_506>",
|
| 1519 |
+
"<SPECIAL_507>",
|
| 1520 |
+
"<SPECIAL_508>",
|
| 1521 |
+
"<SPECIAL_509>",
|
| 1522 |
+
"<SPECIAL_510>",
|
| 1523 |
+
"<SPECIAL_511>",
|
| 1524 |
+
"<SPECIAL_512>",
|
| 1525 |
+
"<SPECIAL_513>",
|
| 1526 |
+
"<SPECIAL_514>",
|
| 1527 |
+
"<SPECIAL_515>",
|
| 1528 |
+
"<SPECIAL_516>",
|
| 1529 |
+
"<SPECIAL_517>",
|
| 1530 |
+
"<SPECIAL_518>",
|
| 1531 |
+
"<SPECIAL_519>",
|
| 1532 |
+
"<SPECIAL_520>",
|
| 1533 |
+
"<SPECIAL_521>",
|
| 1534 |
+
"<SPECIAL_522>",
|
| 1535 |
+
"<SPECIAL_523>",
|
| 1536 |
+
"<SPECIAL_524>",
|
| 1537 |
+
"<SPECIAL_525>",
|
| 1538 |
+
"<SPECIAL_526>",
|
| 1539 |
+
"<SPECIAL_527>",
|
| 1540 |
+
"<SPECIAL_528>",
|
| 1541 |
+
"<SPECIAL_529>",
|
| 1542 |
+
"<SPECIAL_530>",
|
| 1543 |
+
"<SPECIAL_531>",
|
| 1544 |
+
"<SPECIAL_532>",
|
| 1545 |
+
"<SPECIAL_533>",
|
| 1546 |
+
"<SPECIAL_534>",
|
| 1547 |
+
"<SPECIAL_535>",
|
| 1548 |
+
"<SPECIAL_536>",
|
| 1549 |
+
"<SPECIAL_537>",
|
| 1550 |
+
"<SPECIAL_538>",
|
| 1551 |
+
"<SPECIAL_539>",
|
| 1552 |
+
"<SPECIAL_540>",
|
| 1553 |
+
"<SPECIAL_541>",
|
| 1554 |
+
"<SPECIAL_542>",
|
| 1555 |
+
"<SPECIAL_543>",
|
| 1556 |
+
"<SPECIAL_544>",
|
| 1557 |
+
"<SPECIAL_545>",
|
| 1558 |
+
"<SPECIAL_546>",
|
| 1559 |
+
"<SPECIAL_547>",
|
| 1560 |
+
"<SPECIAL_548>",
|
| 1561 |
+
"<SPECIAL_549>",
|
| 1562 |
+
"<SPECIAL_550>",
|
| 1563 |
+
"<SPECIAL_551>",
|
| 1564 |
+
"<SPECIAL_552>",
|
| 1565 |
+
"<SPECIAL_553>",
|
| 1566 |
+
"<SPECIAL_554>",
|
| 1567 |
+
"<SPECIAL_555>",
|
| 1568 |
+
"<SPECIAL_556>",
|
| 1569 |
+
"<SPECIAL_557>",
|
| 1570 |
+
"<SPECIAL_558>",
|
| 1571 |
+
"<SPECIAL_559>",
|
| 1572 |
+
"<SPECIAL_560>",
|
| 1573 |
+
"<SPECIAL_561>",
|
| 1574 |
+
"<SPECIAL_562>",
|
| 1575 |
+
"<SPECIAL_563>",
|
| 1576 |
+
"<SPECIAL_564>",
|
| 1577 |
+
"<SPECIAL_565>",
|
| 1578 |
+
"<SPECIAL_566>",
|
| 1579 |
+
"<SPECIAL_567>",
|
| 1580 |
+
"<SPECIAL_568>",
|
| 1581 |
+
"<SPECIAL_569>",
|
| 1582 |
+
"<SPECIAL_570>",
|
| 1583 |
+
"<SPECIAL_571>",
|
| 1584 |
+
"<SPECIAL_572>",
|
| 1585 |
+
"<SPECIAL_573>",
|
| 1586 |
+
"<SPECIAL_574>",
|
| 1587 |
+
"<SPECIAL_575>",
|
| 1588 |
+
"<SPECIAL_576>",
|
| 1589 |
+
"<SPECIAL_577>",
|
| 1590 |
+
"<SPECIAL_578>",
|
| 1591 |
+
"<SPECIAL_579>",
|
| 1592 |
+
"<SPECIAL_580>",
|
| 1593 |
+
"<SPECIAL_581>",
|
| 1594 |
+
"<SPECIAL_582>",
|
| 1595 |
+
"<SPECIAL_583>",
|
| 1596 |
+
"<SPECIAL_584>",
|
| 1597 |
+
"<SPECIAL_585>",
|
| 1598 |
+
"<SPECIAL_586>",
|
| 1599 |
+
"<SPECIAL_587>",
|
| 1600 |
+
"<SPECIAL_588>",
|
| 1601 |
+
"<SPECIAL_589>",
|
| 1602 |
+
"<SPECIAL_590>",
|
| 1603 |
+
"<SPECIAL_591>",
|
| 1604 |
+
"<SPECIAL_592>",
|
| 1605 |
+
"<SPECIAL_593>",
|
| 1606 |
+
"<SPECIAL_594>",
|
| 1607 |
+
"<SPECIAL_595>",
|
| 1608 |
+
"<SPECIAL_596>",
|
| 1609 |
+
"<SPECIAL_597>",
|
| 1610 |
+
"<SPECIAL_598>",
|
| 1611 |
+
"<SPECIAL_599>",
|
| 1612 |
+
"<SPECIAL_600>",
|
| 1613 |
+
"<SPECIAL_601>",
|
| 1614 |
+
"<SPECIAL_602>",
|
| 1615 |
+
"<SPECIAL_603>",
|
| 1616 |
+
"<SPECIAL_604>",
|
| 1617 |
+
"<SPECIAL_605>",
|
| 1618 |
+
"<SPECIAL_606>",
|
| 1619 |
+
"<SPECIAL_607>",
|
| 1620 |
+
"<SPECIAL_608>",
|
| 1621 |
+
"<SPECIAL_609>",
|
| 1622 |
+
"<SPECIAL_610>",
|
| 1623 |
+
"<SPECIAL_611>",
|
| 1624 |
+
"<SPECIAL_612>",
|
| 1625 |
+
"<SPECIAL_613>",
|
| 1626 |
+
"<SPECIAL_614>",
|
| 1627 |
+
"<SPECIAL_615>",
|
| 1628 |
+
"<SPECIAL_616>",
|
| 1629 |
+
"<SPECIAL_617>",
|
| 1630 |
+
"<SPECIAL_618>",
|
| 1631 |
+
"<SPECIAL_619>",
|
| 1632 |
+
"<SPECIAL_620>",
|
| 1633 |
+
"<SPECIAL_621>",
|
| 1634 |
+
"<SPECIAL_622>",
|
| 1635 |
+
"<SPECIAL_623>",
|
| 1636 |
+
"<SPECIAL_624>",
|
| 1637 |
+
"<SPECIAL_625>",
|
| 1638 |
+
"<SPECIAL_626>",
|
| 1639 |
+
"<SPECIAL_627>",
|
| 1640 |
+
"<SPECIAL_628>",
|
| 1641 |
+
"<SPECIAL_629>",
|
| 1642 |
+
"<SPECIAL_630>",
|
| 1643 |
+
"<SPECIAL_631>",
|
| 1644 |
+
"<SPECIAL_632>",
|
| 1645 |
+
"<SPECIAL_633>",
|
| 1646 |
+
"<SPECIAL_634>",
|
| 1647 |
+
"<SPECIAL_635>",
|
| 1648 |
+
"<SPECIAL_636>",
|
| 1649 |
+
"<SPECIAL_637>",
|
| 1650 |
+
"<SPECIAL_638>",
|
| 1651 |
+
"<SPECIAL_639>",
|
| 1652 |
+
"<SPECIAL_640>",
|
| 1653 |
+
"<SPECIAL_641>",
|
| 1654 |
+
"<SPECIAL_642>",
|
| 1655 |
+
"<SPECIAL_643>",
|
| 1656 |
+
"<SPECIAL_644>",
|
| 1657 |
+
"<SPECIAL_645>",
|
| 1658 |
+
"<SPECIAL_646>",
|
| 1659 |
+
"<SPECIAL_647>",
|
| 1660 |
+
"<SPECIAL_648>",
|
| 1661 |
+
"<SPECIAL_649>",
|
| 1662 |
+
"<SPECIAL_650>",
|
| 1663 |
+
"<SPECIAL_651>",
|
| 1664 |
+
"<SPECIAL_652>",
|
| 1665 |
+
"<SPECIAL_653>",
|
| 1666 |
+
"<SPECIAL_654>",
|
| 1667 |
+
"<SPECIAL_655>",
|
| 1668 |
+
"<SPECIAL_656>",
|
| 1669 |
+
"<SPECIAL_657>",
|
| 1670 |
+
"<SPECIAL_658>",
|
| 1671 |
+
"<SPECIAL_659>",
|
| 1672 |
+
"<SPECIAL_660>",
|
| 1673 |
+
"<SPECIAL_661>",
|
| 1674 |
+
"<SPECIAL_662>",
|
| 1675 |
+
"<SPECIAL_663>",
|
| 1676 |
+
"<SPECIAL_664>",
|
| 1677 |
+
"<SPECIAL_665>",
|
| 1678 |
+
"<SPECIAL_666>",
|
| 1679 |
+
"<SPECIAL_667>",
|
| 1680 |
+
"<SPECIAL_668>",
|
| 1681 |
+
"<SPECIAL_669>",
|
| 1682 |
+
"<SPECIAL_670>",
|
| 1683 |
+
"<SPECIAL_671>",
|
| 1684 |
+
"<SPECIAL_672>",
|
| 1685 |
+
"<SPECIAL_673>",
|
| 1686 |
+
"<SPECIAL_674>",
|
| 1687 |
+
"<SPECIAL_675>",
|
| 1688 |
+
"<SPECIAL_676>",
|
| 1689 |
+
"<SPECIAL_677>",
|
| 1690 |
+
"<SPECIAL_678>",
|
| 1691 |
+
"<SPECIAL_679>",
|
| 1692 |
+
"<SPECIAL_680>",
|
| 1693 |
+
"<SPECIAL_681>",
|
| 1694 |
+
"<SPECIAL_682>",
|
| 1695 |
+
"<SPECIAL_683>",
|
| 1696 |
+
"<SPECIAL_684>",
|
| 1697 |
+
"<SPECIAL_685>",
|
| 1698 |
+
"<SPECIAL_686>",
|
| 1699 |
+
"<SPECIAL_687>",
|
| 1700 |
+
"<SPECIAL_688>",
|
| 1701 |
+
"<SPECIAL_689>",
|
| 1702 |
+
"<SPECIAL_690>",
|
| 1703 |
+
"<SPECIAL_691>",
|
| 1704 |
+
"<SPECIAL_692>",
|
| 1705 |
+
"<SPECIAL_693>",
|
| 1706 |
+
"<SPECIAL_694>",
|
| 1707 |
+
"<SPECIAL_695>",
|
| 1708 |
+
"<SPECIAL_696>",
|
| 1709 |
+
"<SPECIAL_697>",
|
| 1710 |
+
"<SPECIAL_698>",
|
| 1711 |
+
"<SPECIAL_699>",
|
| 1712 |
+
"<SPECIAL_700>",
|
| 1713 |
+
"<SPECIAL_701>",
|
| 1714 |
+
"<SPECIAL_702>",
|
| 1715 |
+
"<SPECIAL_703>",
|
| 1716 |
+
"<SPECIAL_704>",
|
| 1717 |
+
"<SPECIAL_705>",
|
| 1718 |
+
"<SPECIAL_706>",
|
| 1719 |
+
"<SPECIAL_707>",
|
| 1720 |
+
"<SPECIAL_708>",
|
| 1721 |
+
"<SPECIAL_709>",
|
| 1722 |
+
"<SPECIAL_710>",
|
| 1723 |
+
"<SPECIAL_711>",
|
| 1724 |
+
"<SPECIAL_712>",
|
| 1725 |
+
"<SPECIAL_713>",
|
| 1726 |
+
"<SPECIAL_714>",
|
| 1727 |
+
"<SPECIAL_715>",
|
| 1728 |
+
"<SPECIAL_716>",
|
| 1729 |
+
"<SPECIAL_717>",
|
| 1730 |
+
"<SPECIAL_718>",
|
| 1731 |
+
"<SPECIAL_719>",
|
| 1732 |
+
"<SPECIAL_720>",
|
| 1733 |
+
"<SPECIAL_721>",
|
| 1734 |
+
"<SPECIAL_722>",
|
| 1735 |
+
"<SPECIAL_723>",
|
| 1736 |
+
"<SPECIAL_724>",
|
| 1737 |
+
"<SPECIAL_725>",
|
| 1738 |
+
"<SPECIAL_726>",
|
| 1739 |
+
"<SPECIAL_727>",
|
| 1740 |
+
"<SPECIAL_728>",
|
| 1741 |
+
"<SPECIAL_729>",
|
| 1742 |
+
"<SPECIAL_730>",
|
| 1743 |
+
"<SPECIAL_731>",
|
| 1744 |
+
"<SPECIAL_732>",
|
| 1745 |
+
"<SPECIAL_733>",
|
| 1746 |
+
"<SPECIAL_734>",
|
| 1747 |
+
"<SPECIAL_735>",
|
| 1748 |
+
"<SPECIAL_736>",
|
| 1749 |
+
"<SPECIAL_737>",
|
| 1750 |
+
"<SPECIAL_738>",
|
| 1751 |
+
"<SPECIAL_739>",
|
| 1752 |
+
"<SPECIAL_740>",
|
| 1753 |
+
"<SPECIAL_741>",
|
| 1754 |
+
"<SPECIAL_742>",
|
| 1755 |
+
"<SPECIAL_743>",
|
| 1756 |
+
"<SPECIAL_744>",
|
| 1757 |
+
"<SPECIAL_745>",
|
| 1758 |
+
"<SPECIAL_746>",
|
| 1759 |
+
"<SPECIAL_747>",
|
| 1760 |
+
"<SPECIAL_748>",
|
| 1761 |
+
"<SPECIAL_749>",
|
| 1762 |
+
"<SPECIAL_750>",
|
| 1763 |
+
"<SPECIAL_751>",
|
| 1764 |
+
"<SPECIAL_752>",
|
| 1765 |
+
"<SPECIAL_753>",
|
| 1766 |
+
"<SPECIAL_754>",
|
| 1767 |
+
"<SPECIAL_755>",
|
| 1768 |
+
"<SPECIAL_756>",
|
| 1769 |
+
"<SPECIAL_757>",
|
| 1770 |
+
"<SPECIAL_758>",
|
| 1771 |
+
"<SPECIAL_759>",
|
| 1772 |
+
"<SPECIAL_760>",
|
| 1773 |
+
"<SPECIAL_761>",
|
| 1774 |
+
"<SPECIAL_762>",
|
| 1775 |
+
"<SPECIAL_763>",
|
| 1776 |
+
"<SPECIAL_764>",
|
| 1777 |
+
"<SPECIAL_765>",
|
| 1778 |
+
"<SPECIAL_766>",
|
| 1779 |
+
"<SPECIAL_767>",
|
| 1780 |
+
"<SPECIAL_768>",
|
| 1781 |
+
"<SPECIAL_769>",
|
| 1782 |
+
"<SPECIAL_770>",
|
| 1783 |
+
"<SPECIAL_771>",
|
| 1784 |
+
"<SPECIAL_772>",
|
| 1785 |
+
"<SPECIAL_773>",
|
| 1786 |
+
"<SPECIAL_774>",
|
| 1787 |
+
"<SPECIAL_775>",
|
| 1788 |
+
"<SPECIAL_776>",
|
| 1789 |
+
"<SPECIAL_777>",
|
| 1790 |
+
"<SPECIAL_778>",
|
| 1791 |
+
"<SPECIAL_779>",
|
| 1792 |
+
"<SPECIAL_780>",
|
| 1793 |
+
"<SPECIAL_781>",
|
| 1794 |
+
"<SPECIAL_782>",
|
| 1795 |
+
"<SPECIAL_783>",
|
| 1796 |
+
"<SPECIAL_784>",
|
| 1797 |
+
"<SPECIAL_785>",
|
| 1798 |
+
"<SPECIAL_786>",
|
| 1799 |
+
"<SPECIAL_787>",
|
| 1800 |
+
"<SPECIAL_788>",
|
| 1801 |
+
"<SPECIAL_789>",
|
| 1802 |
+
"<SPECIAL_790>",
|
| 1803 |
+
"<SPECIAL_791>",
|
| 1804 |
+
"<SPECIAL_792>",
|
| 1805 |
+
"<SPECIAL_793>",
|
| 1806 |
+
"<SPECIAL_794>",
|
| 1807 |
+
"<SPECIAL_795>",
|
| 1808 |
+
"<SPECIAL_796>",
|
| 1809 |
+
"<SPECIAL_797>",
|
| 1810 |
+
"<SPECIAL_798>",
|
| 1811 |
+
"<SPECIAL_799>",
|
| 1812 |
+
"<SPECIAL_800>",
|
| 1813 |
+
"<SPECIAL_801>",
|
| 1814 |
+
"<SPECIAL_802>",
|
| 1815 |
+
"<SPECIAL_803>",
|
| 1816 |
+
"<SPECIAL_804>",
|
| 1817 |
+
"<SPECIAL_805>",
|
| 1818 |
+
"<SPECIAL_806>",
|
| 1819 |
+
"<SPECIAL_807>",
|
| 1820 |
+
"<SPECIAL_808>",
|
| 1821 |
+
"<SPECIAL_809>",
|
| 1822 |
+
"<SPECIAL_810>",
|
| 1823 |
+
"<SPECIAL_811>",
|
| 1824 |
+
"<SPECIAL_812>",
|
| 1825 |
+
"<SPECIAL_813>",
|
| 1826 |
+
"<SPECIAL_814>",
|
| 1827 |
+
"<SPECIAL_815>",
|
| 1828 |
+
"<SPECIAL_816>",
|
| 1829 |
+
"<SPECIAL_817>",
|
| 1830 |
+
"<SPECIAL_818>",
|
| 1831 |
+
"<SPECIAL_819>",
|
| 1832 |
+
"<SPECIAL_820>",
|
| 1833 |
+
"<SPECIAL_821>",
|
| 1834 |
+
"<SPECIAL_822>",
|
| 1835 |
+
"<SPECIAL_823>",
|
| 1836 |
+
"<SPECIAL_824>",
|
| 1837 |
+
"<SPECIAL_825>",
|
| 1838 |
+
"<SPECIAL_826>",
|
| 1839 |
+
"<SPECIAL_827>",
|
| 1840 |
+
"<SPECIAL_828>",
|
| 1841 |
+
"<SPECIAL_829>",
|
| 1842 |
+
"<SPECIAL_830>",
|
| 1843 |
+
"<SPECIAL_831>",
|
| 1844 |
+
"<SPECIAL_832>",
|
| 1845 |
+
"<SPECIAL_833>",
|
| 1846 |
+
"<SPECIAL_834>",
|
| 1847 |
+
"<SPECIAL_835>",
|
| 1848 |
+
"<SPECIAL_836>",
|
| 1849 |
+
"<SPECIAL_837>",
|
| 1850 |
+
"<SPECIAL_838>",
|
| 1851 |
+
"<SPECIAL_839>",
|
| 1852 |
+
"<SPECIAL_840>",
|
| 1853 |
+
"<SPECIAL_841>",
|
| 1854 |
+
"<SPECIAL_842>",
|
| 1855 |
+
"<SPECIAL_843>",
|
| 1856 |
+
"<SPECIAL_844>",
|
| 1857 |
+
"<SPECIAL_845>",
|
| 1858 |
+
"<SPECIAL_846>",
|
| 1859 |
+
"<SPECIAL_847>",
|
| 1860 |
+
"<SPECIAL_848>",
|
| 1861 |
+
"<SPECIAL_849>",
|
| 1862 |
+
"<SPECIAL_850>",
|
| 1863 |
+
"<SPECIAL_851>",
|
| 1864 |
+
"<SPECIAL_852>",
|
| 1865 |
+
"<SPECIAL_853>",
|
| 1866 |
+
"<SPECIAL_854>",
|
| 1867 |
+
"<SPECIAL_855>",
|
| 1868 |
+
"<SPECIAL_856>",
|
| 1869 |
+
"<SPECIAL_857>",
|
| 1870 |
+
"<SPECIAL_858>",
|
| 1871 |
+
"<SPECIAL_859>",
|
| 1872 |
+
"<SPECIAL_860>",
|
| 1873 |
+
"<SPECIAL_861>",
|
| 1874 |
+
"<SPECIAL_862>",
|
| 1875 |
+
"<SPECIAL_863>",
|
| 1876 |
+
"<SPECIAL_864>",
|
| 1877 |
+
"<SPECIAL_865>",
|
| 1878 |
+
"<SPECIAL_866>",
|
| 1879 |
+
"<SPECIAL_867>",
|
| 1880 |
+
"<SPECIAL_868>",
|
| 1881 |
+
"<SPECIAL_869>",
|
| 1882 |
+
"<SPECIAL_870>",
|
| 1883 |
+
"<SPECIAL_871>",
|
| 1884 |
+
"<SPECIAL_872>",
|
| 1885 |
+
"<SPECIAL_873>",
|
| 1886 |
+
"<SPECIAL_874>",
|
| 1887 |
+
"<SPECIAL_875>",
|
| 1888 |
+
"<SPECIAL_876>",
|
| 1889 |
+
"<SPECIAL_877>",
|
| 1890 |
+
"<SPECIAL_878>",
|
| 1891 |
+
"<SPECIAL_879>",
|
| 1892 |
+
"<SPECIAL_880>",
|
| 1893 |
+
"<SPECIAL_881>",
|
| 1894 |
+
"<SPECIAL_882>",
|
| 1895 |
+
"<SPECIAL_883>",
|
| 1896 |
+
"<SPECIAL_884>",
|
| 1897 |
+
"<SPECIAL_885>",
|
| 1898 |
+
"<SPECIAL_886>",
|
| 1899 |
+
"<SPECIAL_887>",
|
| 1900 |
+
"<SPECIAL_888>",
|
| 1901 |
+
"<SPECIAL_889>",
|
| 1902 |
+
"<SPECIAL_890>",
|
| 1903 |
+
"<SPECIAL_891>",
|
| 1904 |
+
"<SPECIAL_892>",
|
| 1905 |
+
"<SPECIAL_893>",
|
| 1906 |
+
"<SPECIAL_894>",
|
| 1907 |
+
"<SPECIAL_895>",
|
| 1908 |
+
"<SPECIAL_896>",
|
| 1909 |
+
"<SPECIAL_897>",
|
| 1910 |
+
"<SPECIAL_898>",
|
| 1911 |
+
"<SPECIAL_899>",
|
| 1912 |
+
"<SPECIAL_900>",
|
| 1913 |
+
"<SPECIAL_901>",
|
| 1914 |
+
"<SPECIAL_902>",
|
| 1915 |
+
"<SPECIAL_903>",
|
| 1916 |
+
"<SPECIAL_904>",
|
| 1917 |
+
"<SPECIAL_905>",
|
| 1918 |
+
"<SPECIAL_906>",
|
| 1919 |
+
"<SPECIAL_907>",
|
| 1920 |
+
"<SPECIAL_908>",
|
| 1921 |
+
"<SPECIAL_909>",
|
| 1922 |
+
"<SPECIAL_910>",
|
| 1923 |
+
"<SPECIAL_911>",
|
| 1924 |
+
"<SPECIAL_912>",
|
| 1925 |
+
"<SPECIAL_913>",
|
| 1926 |
+
"<SPECIAL_914>",
|
| 1927 |
+
"<SPECIAL_915>",
|
| 1928 |
+
"<SPECIAL_916>",
|
| 1929 |
+
"<SPECIAL_917>",
|
| 1930 |
+
"<SPECIAL_918>",
|
| 1931 |
+
"<SPECIAL_919>",
|
| 1932 |
+
"<SPECIAL_920>",
|
| 1933 |
+
"<SPECIAL_921>",
|
| 1934 |
+
"<SPECIAL_922>",
|
| 1935 |
+
"<SPECIAL_923>",
|
| 1936 |
+
"<SPECIAL_924>",
|
| 1937 |
+
"<SPECIAL_925>",
|
| 1938 |
+
"<SPECIAL_926>",
|
| 1939 |
+
"<SPECIAL_927>",
|
| 1940 |
+
"<SPECIAL_928>",
|
| 1941 |
+
"<SPECIAL_929>",
|
| 1942 |
+
"<SPECIAL_930>",
|
| 1943 |
+
"<SPECIAL_931>",
|
| 1944 |
+
"<SPECIAL_932>",
|
| 1945 |
+
"<SPECIAL_933>",
|
| 1946 |
+
"<SPECIAL_934>",
|
| 1947 |
+
"<SPECIAL_935>",
|
| 1948 |
+
"<SPECIAL_936>",
|
| 1949 |
+
"<SPECIAL_937>",
|
| 1950 |
+
"<SPECIAL_938>",
|
| 1951 |
+
"<SPECIAL_939>",
|
| 1952 |
+
"<SPECIAL_940>",
|
| 1953 |
+
"<SPECIAL_941>",
|
| 1954 |
+
"<SPECIAL_942>",
|
| 1955 |
+
"<SPECIAL_943>",
|
| 1956 |
+
"<SPECIAL_944>",
|
| 1957 |
+
"<SPECIAL_945>",
|
| 1958 |
+
"<SPECIAL_946>",
|
| 1959 |
+
"<SPECIAL_947>",
|
| 1960 |
+
"<SPECIAL_948>",
|
| 1961 |
+
"<SPECIAL_949>",
|
| 1962 |
+
"<SPECIAL_950>",
|
| 1963 |
+
"<SPECIAL_951>",
|
| 1964 |
+
"<SPECIAL_952>",
|
| 1965 |
+
"<SPECIAL_953>",
|
| 1966 |
+
"<SPECIAL_954>",
|
| 1967 |
+
"<SPECIAL_955>",
|
| 1968 |
+
"<SPECIAL_956>",
|
| 1969 |
+
"<SPECIAL_957>",
|
| 1970 |
+
"<SPECIAL_958>",
|
| 1971 |
+
"<SPECIAL_959>",
|
| 1972 |
+
"<SPECIAL_960>",
|
| 1973 |
+
"<SPECIAL_961>",
|
| 1974 |
+
"<SPECIAL_962>",
|
| 1975 |
+
"<SPECIAL_963>",
|
| 1976 |
+
"<SPECIAL_964>",
|
| 1977 |
+
"<SPECIAL_965>",
|
| 1978 |
+
"<SPECIAL_966>",
|
| 1979 |
+
"<SPECIAL_967>",
|
| 1980 |
+
"<SPECIAL_968>",
|
| 1981 |
+
"<SPECIAL_969>",
|
| 1982 |
+
"<SPECIAL_970>",
|
| 1983 |
+
"<SPECIAL_971>",
|
| 1984 |
+
"<SPECIAL_972>",
|
| 1985 |
+
"<SPECIAL_973>",
|
| 1986 |
+
"<SPECIAL_974>",
|
| 1987 |
+
"<SPECIAL_975>",
|
| 1988 |
+
"<SPECIAL_976>",
|
| 1989 |
+
"<SPECIAL_977>",
|
| 1990 |
+
"<SPECIAL_978>",
|
| 1991 |
+
"<SPECIAL_979>",
|
| 1992 |
+
"<SPECIAL_980>",
|
| 1993 |
+
"<SPECIAL_981>",
|
| 1994 |
+
"<SPECIAL_982>",
|
| 1995 |
+
"<SPECIAL_983>",
|
| 1996 |
+
"<SPECIAL_984>",
|
| 1997 |
+
"<SPECIAL_985>",
|
| 1998 |
+
"<SPECIAL_986>",
|
| 1999 |
+
"<SPECIAL_987>",
|
| 2000 |
+
"<SPECIAL_988>",
|
| 2001 |
+
"<SPECIAL_989>",
|
| 2002 |
+
"<SPECIAL_990>",
|
| 2003 |
+
"<SPECIAL_991>",
|
| 2004 |
+
"<SPECIAL_992>",
|
| 2005 |
+
"<SPECIAL_993>",
|
| 2006 |
+
"<SPECIAL_994>",
|
| 2007 |
+
"<SPECIAL_995>",
|
| 2008 |
+
"<SPECIAL_996>",
|
| 2009 |
+
"<SPECIAL_997>",
|
| 2010 |
+
"<SPECIAL_998>",
|
| 2011 |
+
"<SPECIAL_999>"
|
| 2012 |
+
],
|
| 2013 |
+
"is_local": false,
|
| 2014 |
+
"model_max_length": 262144,
|
| 2015 |
+
"model_specific_special_tokens": {},
|
| 2016 |
+
"pad_token": "<pad>",
|
| 2017 |
+
"padding_side": "left",
|
| 2018 |
+
"processor_class": "PixtralProcessor",
|
| 2019 |
+
"tokenizer_class": "LlamaTokenizer",
|
| 2020 |
+
"unk_token": "<unk>",
|
| 2021 |
+
"use_default_system_prompt": false,
|
| 2022 |
+
"chat_template": "{#- Unsloth template fixes #}\n{#- Default system message if no system prompt is passed. #}\n{%- set default_system_message = '# HOW YOU SHOULD THINK AND ANSWER\\n\\nFirst draft your thinking process (inner monologue) until you arrive at a response. Format your response using Markdown, and use LaTeX for any mathematical equations. Write both your thoughts and the response in the same language as the input.\\n\\nYour thinking process must follow the template below:[THINK]Your thoughts or/and draft, like working through an exercise on scratch paper. Be as casual and as long as you want until you are confident to generate the response to the user.[/THINK]Here, provide a self-contained response.' %}\n\n{#- Begin of sequence token. #}\n{{- bos_token }}\n\n{#- Handle system prompt if it exists. #}\n{#- System prompt supports text content or text and thinking chunks. #}\n{%- if messages[0]['role'] == 'system' %}\n {{- '[SYSTEM_PROMPT]' -}}\n {%- if messages[0]['content'] is string %}\n {{- messages[0]['content'] -}}\n {%- else %} \n {%- for block in messages[0]['content'] %}\n {%- if block['type'] == 'text' %}\n {{- block['text'] }}\n {%- elif block['type'] == 'thinking' %}\n {{- '[THINK]' + block['thinking'] + '[/THINK]' }}\n {%- else %}\n {{- raise_exception('Only text and thinking chunks are supported in system message contents.') }}\n {%- endif %}\n {%- endfor %}\n {%- endif %}\n {{- '[/SYSTEM_PROMPT]' -}}\n {%- set loop_messages = messages[1:] %}\n{%- else %}\n {%- set loop_messages = messages %}\n {%- if default_system_message != '' %}\n {{- '[SYSTEM_PROMPT]' + default_system_message + '[/SYSTEM_PROMPT]' }}\n {%- endif %}\n{%- endif %}\n\n\n{#- Tools definition #}\n{%- set tools_definition = '' %}\n{%- set has_tools = false %}\n{%- if tools is defined and tools is not none and tools|length > 0 %}\n {%- set has_tools = true %}\n {%- set tools_definition = '[AVAILABLE_TOOLS]' + (tools| tojson) + '[/AVAILABLE_TOOLS]' %}\n {{- tools_definition }}\n{%- endif %}\n\n{#- Checks for alternating user/assistant messages. #}\n{%- set ns = namespace(index=0) %}\n{%- for message in loop_messages %}\n {%- if message.role == 'user' or (message.role == 'assistant' and (message.tool_calls is not defined or message.tool_calls is none or message.tool_calls | length == 0)) %}\n {%- if (message['role'] == 'user') != (ns.index % 2 == 0) %}\n {{- raise_exception('After the optional system message, conversation roles must alternate user and assistant roles except for tool calls and results.') }}\n {%- endif %}\n {%- set ns.index = ns.index + 1 %}\n {%- endif %}\n{%- endfor %}\n\n{#- Handle conversation messages. #}\n{%- for message in loop_messages %}\n\n {#- User messages supports text content or text and image chunks. #}\n {%- if message['role'] == 'user' %}\n {%- if message['content'] is string %}\n {{- '[INST]' + message['content'] + '[/INST]' }}\n {%- elif message['content'] | length > 0 %}\n {{- '[INST]' }}\n {%- if message['content'] | length == 2 %}\n {%- set blocks = message['content'] | sort(attribute='type') %}\n {%- else %}\n {%- set blocks = message['content'] %}\n {%- endif %}\n {%- for block in blocks %}\n {%- if block['type'] == 'text' %}\n {{- block['text'] }}\n {%- elif block['type'] in ['image', 'image_url'] %}\n {{- '[IMG]' }}\n {%- else %}\n {{- raise_exception('Only text, image and image_url chunks are supported in user message content.') }}\n {%- endif %}\n {%- endfor %}\n {{- '[/INST]' }}\n {%- else %}\n {{- raise_exception('User message must have a string or a list of chunks in content') }}\n {%- endif %}\n\n {#- Assistant messages supports text content or text, image and thinking chunks. #}\n {%- elif message['role'] == 'assistant' %}\n\n {%- if message['content'] is string and message['content'] != '' %}\n {{- message['content'] }}\n {%- elif message['content'] is iterable and message['content'] | length > 0 %}\n {%- for block in message['content'] %}\n {%- if block['type'] == 'text' %}\n {{- block['text'] }}\n {%- elif block['type'] == 'thinking' %}\n {{- '[THINK]' + block['thinking'] + '[/THINK]' }}\n {%- else %}\n {{- raise_exception('Only text and thinking chunks are supported in assistant message contents.') }}\n {%- endif %}\n {%- endfor %}\n {%- endif %}\n \n {%- if message['tool_calls'] is defined and message['tool_calls'] is not none and message['tool_calls']|length > 0 %}\n {%- for tool in message['tool_calls'] %}\n {{- '[TOOL_CALLS]' }}\n {%- set name = tool['function']['name'] %}\n {%- set arguments = tool['function']['arguments'] %}\n {%- if arguments is not string %}\n {%- set arguments = arguments|tojson|safe %}\n {%- elif arguments == '' %}\n {%- set arguments = '{}' %}\n {%- endif %}\n {{- name + '[ARGS]' + arguments }}\n {%- endfor %}\n {%- endif %}\n\n {{- eos_token }}\n\n {#- Tool messages only supports text content. #}\n {%- elif message['role'] == 'tool' %}\n {{- '[TOOL_RESULTS]' + message['content']|string + '[/TOOL_RESULTS]' }}\n\n {#- Raise exception for unsupported roles. #}\n {%- else %}\n {{- raise_exception('Only user, assistant and tool roles are supported, got ' + message['role'] + '.') }}\n {%- endif %}\n{%- endfor %}\n\n{#- Copyright 2025-present Unsloth. Apache 2.0 License. #}"
|
| 2023 |
+
}
|