---
license: apache-2.0
language:
- en
pipeline_tag: text-generation
library_name: mlx
base_model: Alibaba-NLP/Tongyi-DeepResearch-30B-A3B
tags:
- mlx
---

# abalogh/Tongyi-DeepResearch-30B-A3B-bf16

This model [abalogh/Tongyi-DeepResearch-30B-A3B-bf16](https://huggingface.co/abalogh/Tongyi-DeepResearch-30B-A3B-bf16) was
converted to MLX format from [Alibaba-NLP/Tongyi-DeepResearch-30B-A3B](https://huggingface.co/Alibaba-NLP/Tongyi-DeepResearch-30B-A3B)
using mlx-lm version **0.26.4**.

## Use with mlx

```bash
pip install mlx-lm
```

```python
from mlx_lm import load, generate

model, tokenizer = load("abalogh/Tongyi-DeepResearch-30B-A3B-bf16")

prompt = "hello"

if tokenizer.chat_template is not None:
    messages = [{"role": "user", "content": prompt}]
    prompt = tokenizer.apply_chat_template(
        messages, add_generation_prompt=True
    )

response = generate(model, tokenizer, prompt=prompt, verbose=True)
```