Update README.md

README.md

@@ -1,893 +1,199 @@
 ---
-base_model:
-- Hjgugugjhuhjggg/mergekit-ties-qgcitfu
-- ValiantLabs/Llama3.2-3B-ShiningValiant2
-- CarrotAI/Llama-3.2-Rabbit-Ko-3B-Instruct
-- Atharva26/llama-3.2-3b-mathdaily-chatbot
-- bunnycore/Llama-3.2-3B-ProdigyPlusPlus
-- disi-unibo-nlp/llama3.2-3B-SFT-medqa-triples-cot
-- Hjgugugjhuhjggg/mergekit-ties-poovzrh
-- bunnycore/Llama-3.2-3B-Long-Think
-- noaebbot/llama3.2-3B-insights
-- ValiantLabs/Llama3.2-3B-Enigma
-- huihui-ai/Llama-3.2-3B-Instruct-abliterated
-- meta-llama/Llama-3.2-3B-Instruct
-- Hjgugugjhuhjggg/mergekit-ties-pghuyfi
-- Diluksha/Llama_3.2_3B_sql_finetuned_full
-- bunnycore/Llama-3.2-3B-Mix
-- Hjgugugjhuhjggg/mergekit-ties-xflmond
-- bunnycore/Llama-3.2-3B-Pure-RP
-- chuanli11/Llama-3.2-3B-Instruct-uncensored
-- EmTpro01/llama-3.2-Code-Generator
-- bunnycore/Llama-3.2-3B-Booval
-- bunnycore/Llama-3.2-3B-Prodigy
-- BrainWave-ML/llama3.2-3B-codemath-orpo
-- bunnycore/Llama-3.2-3B-TitanFusion
-- bunnycore/Llama-3.2-3B-CodeReactor
-- Hjgugugjhuhjggg/mergekit-ties-kmlzhzo
-- Hjgugugjhuhjggg/mergekit-ties-esawwda
-- bunnycore/Llama-3.2-3B-TitanFusion-v2
-- disi-unibo-nlp/llama3.2-3B-SFT-medmcqa-triples-cot
-- bunnycore/Llama-3.2-3B-Mix-Skill
-- bunnycore/Llama-3.2-3B-Sci-Think
-- AELLM/Llama-3.2-Chibi-3B
-- AcademieDuNumerique/Llama-3.2-3B-SQL-Instruct
-- roger33303/Best_Model-llama3.2-3b-Instruct-Finetune-website-QnA
-- Hjgugugjhuhjggg/mergekit-ties-dkhnzcn
-- Isotonic/reasoning-llama3.2-3b
-- meta-llama/Llama-3.2-3B
-- bunnycore/Llama-3.2-3B-Apex
-- TroyDoesAI/BlackSheep-Llama3.2-3B-Context_Obedient
-- CK0607/llama3.2-3B-CodeP
-- bunnycore/Llama-3.2-3B-Stock
 library_name: transformers
-tags:
-- mergekit
-- merge
-
+tags: []
 ---
-# merge
-
-This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit).
-
-## Merge Details
-### Merge Method
-
-This model was merged using the [linear](https://arxiv.org/abs/2203.05482) merge method using [huihui-ai/Llama-3.2-3B-Instruct-abliterated](https://huggingface.co/huihui-ai/Llama-3.2-3B-Instruct-abliterated) as a base.
-
-### Models Merged
-
-The following models were included in the merge:
-* [Hjgugugjhuhjggg/mergekit-ties-qgcitfu](https://huggingface.co/Hjgugugjhuhjggg/mergekit-ties-qgcitfu)
-* [ValiantLabs/Llama3.2-3B-ShiningValiant2](https://huggingface.co/ValiantLabs/Llama3.2-3B-ShiningValiant2)
-* [CarrotAI/Llama-3.2-Rabbit-Ko-3B-Instruct](https://huggingface.co/CarrotAI/Llama-3.2-Rabbit-Ko-3B-Instruct)
-* [Atharva26/llama-3.2-3b-mathdaily-chatbot](https://huggingface.co/Atharva26/llama-3.2-3b-mathdaily-chatbot)
-* [bunnycore/Llama-3.2-3B-ProdigyPlusPlus](https://huggingface.co/bunnycore/Llama-3.2-3B-ProdigyPlusPlus)
-* [disi-unibo-nlp/llama3.2-3B-SFT-medqa-triples-cot](https://huggingface.co/disi-unibo-nlp/llama3.2-3B-SFT-medqa-triples-cot)
-* [Hjgugugjhuhjggg/mergekit-ties-poovzrh](https://huggingface.co/Hjgugugjhuhjggg/mergekit-ties-poovzrh)
-* [bunnycore/Llama-3.2-3B-Long-Think](https://huggingface.co/bunnycore/Llama-3.2-3B-Long-Think)
-* [noaebbot/llama3.2-3B-insights](https://huggingface.co/noaebbot/llama3.2-3B-insights)
-* [ValiantLabs/Llama3.2-3B-Enigma](https://huggingface.co/ValiantLabs/Llama3.2-3B-Enigma)
-* [meta-llama/Llama-3.2-3B-Instruct](https://huggingface.co/meta-llama/Llama-3.2-3B-Instruct)
-* [Hjgugugjhuhjggg/mergekit-ties-pghuyfi](https://huggingface.co/Hjgugugjhuhjggg/mergekit-ties-pghuyfi)
-* [Diluksha/Llama_3.2_3B_sql_finetuned_full](https://huggingface.co/Diluksha/Llama_3.2_3B_sql_finetuned_full)
-* [bunnycore/Llama-3.2-3B-Mix](https://huggingface.co/bunnycore/Llama-3.2-3B-Mix)
-* [Hjgugugjhuhjggg/mergekit-ties-xflmond](https://huggingface.co/Hjgugugjhuhjggg/mergekit-ties-xflmond)
-* [bunnycore/Llama-3.2-3B-Pure-RP](https://huggingface.co/bunnycore/Llama-3.2-3B-Pure-RP)
-* [chuanli11/Llama-3.2-3B-Instruct-uncensored](https://huggingface.co/chuanli11/Llama-3.2-3B-Instruct-uncensored)
-* [EmTpro01/llama-3.2-Code-Generator](https://huggingface.co/EmTpro01/llama-3.2-Code-Generator)
-* [bunnycore/Llama-3.2-3B-Booval](https://huggingface.co/bunnycore/Llama-3.2-3B-Booval)
-* [bunnycore/Llama-3.2-3B-Prodigy](https://huggingface.co/bunnycore/Llama-3.2-3B-Prodigy)
-* [BrainWave-ML/llama3.2-3B-codemath-orpo](https://huggingface.co/BrainWave-ML/llama3.2-3B-codemath-orpo)
-* [bunnycore/Llama-3.2-3B-TitanFusion](https://huggingface.co/bunnycore/Llama-3.2-3B-TitanFusion)
-* [bunnycore/Llama-3.2-3B-CodeReactor](https://huggingface.co/bunnycore/Llama-3.2-3B-CodeReactor)
-* [Hjgugugjhuhjggg/mergekit-ties-kmlzhzo](https://huggingface.co/Hjgugugjhuhjggg/mergekit-ties-kmlzhzo)
-* [Hjgugugjhuhjggg/mergekit-ties-esawwda](https://huggingface.co/Hjgugugjhuhjggg/mergekit-ties-esawwda)
-* [bunnycore/Llama-3.2-3B-TitanFusion-v2](https://huggingface.co/bunnycore/Llama-3.2-3B-TitanFusion-v2)
-* [disi-unibo-nlp/llama3.2-3B-SFT-medmcqa-triples-cot](https://huggingface.co/disi-unibo-nlp/llama3.2-3B-SFT-medmcqa-triples-cot)
-* [bunnycore/Llama-3.2-3B-Mix-Skill](https://huggingface.co/bunnycore/Llama-3.2-3B-Mix-Skill)
-* [bunnycore/Llama-3.2-3B-Sci-Think](https://huggingface.co/bunnycore/Llama-3.2-3B-Sci-Think)
-* [AELLM/Llama-3.2-Chibi-3B](https://huggingface.co/AELLM/Llama-3.2-Chibi-3B)
-* [AcademieDuNumerique/Llama-3.2-3B-SQL-Instruct](https://huggingface.co/AcademieDuNumerique/Llama-3.2-3B-SQL-Instruct)
-* [roger33303/Best_Model-llama3.2-3b-Instruct-Finetune-website-QnA](https://huggingface.co/roger33303/Best_Model-llama3.2-3b-Instruct-Finetune-website-QnA)
-* [Hjgugugjhuhjggg/mergekit-ties-dkhnzcn](https://huggingface.co/Hjgugugjhuhjggg/mergekit-ties-dkhnzcn)
-* [Isotonic/reasoning-llama3.2-3b](https://huggingface.co/Isotonic/reasoning-llama3.2-3b)
-* [meta-llama/Llama-3.2-3B](https://huggingface.co/meta-llama/Llama-3.2-3B)
-* [bunnycore/Llama-3.2-3B-Apex](https://huggingface.co/bunnycore/Llama-3.2-3B-Apex)
-* [TroyDoesAI/BlackSheep-Llama3.2-3B-Context_Obedient](https://huggingface.co/TroyDoesAI/BlackSheep-Llama3.2-3B-Context_Obedient)
-* [CK0607/llama3.2-3B-CodeP](https://huggingface.co/CK0607/llama3.2-3B-CodeP)
-* [bunnycore/Llama-3.2-3B-Stock](https://huggingface.co/bunnycore/Llama-3.2-3B-Stock)
-
-### Configuration
-
-The following YAML configuration was used to produce this model:
-
-```yaml
-models:
-  - layer_range: [0, 28]
-    model: Hjgugugjhuhjggg/mergekit-ties-qgcitfu
-    parameters:
-      weight: 1
-      density: 0.9
-      gamma: 0.01
-      normalize: true
-      int8_mask: true
-      random_seed: 0
-      temperature: 0.5
-      top_p: 0.65
-      inference: true
-      max_tokens: 999999999
-      stream: true
-      quantization:
-        - method: int8
-          value: 100
-        - method: int4
-          value: 100
-
-  - layer_range: [0, 28]
-    model: Hjgugugjhuhjggg/mergekit-ties-esawwda
-    parameters:
-      weight: 1
-      density: 0.9
-      gamma: 0.01
-      normalize: true
-      int8_mask: true
-      random_seed: 0
-      temperature: 0.5
-      top_p: 0.65
-      inference: true
-      max_tokens: 999999999
-      stream: true
-      quantization:
-        - method: int8
-          value: 100
-        - method: int4
-          value: 100
-
-  - layer_range: [0, 28]
-    model: Hjgugugjhuhjggg/mergekit-ties-dkhnzcn
-    parameters:
-      weight: 1
-      density: 0.9
-      gamma: 0.01
-      normalize: true
-      int8_mask: true
-      random_seed: 0
-      temperature: 0.5
-      top_p: 0.65
-      inference: true
-      max_tokens: 999999999
-      stream: true
-      quantization:
-        - method: int8
-          value: 100
-        - method: int4
-          value: 100
-
-  - layer_range: [0, 28]
-    model: Hjgugugjhuhjggg/mergekit-ties-poovzrh
-    parameters:
-      weight: 1
-      density: 0.9
-      gamma: 0.01
-      normalize: true
-      int8_mask: true
-      random_seed: 0
-      temperature: 0.5
-      top_p: 0.65
-      inference: true
-      max_tokens: 999999999
-      stream: true
-      quantization:
-        - method: int8
-          value: 100
-        - method: int4
-          value: 100
-
-  - layer_range: [0, 28]
-    model: Hjgugugjhuhjggg/mergekit-ties-pghuyfi
-    parameters:
-      weight: 1
-      density: 0.9
-      gamma: 0.01
-      normalize: true
-      int8_mask: true
-      random_seed: 0
-      temperature: 0.5
-      top_p: 0.65
-      inference: true
-      max_tokens: 999999999
-      stream: true
-      quantization:
-        - method: int8
-          value: 100
-        - method: int4
-          value: 100
-
-  - layer_range: [0, 28]
-    model: Hjgugugjhuhjggg/mergekit-ties-kmlzhzo
-    parameters:
-      weight: 1
-      density: 0.9
-      gamma: 0.01
-      normalize: true
-      int8_mask: true
-      random_seed: 0
-      temperature: 0.5
-      top_p: 0.65
-      inference: true
-      max_tokens: 999999999
-      stream: true
-      quantization:
-        - method: int8
-          value: 100
-        - method: int4
-          value: 100
-
-  - layer_range: [0, 28]
-    model: Hjgugugjhuhjggg/mergekit-ties-xflmond
-    parameters:
-      weight: 1
-      density: 0.9
-      gamma: 0.01
-      normalize: true
-      int8_mask: true
-      random_seed: 0
-      temperature: 0.5
-      top_p: 0.65
-      inference: true
-      max_tokens: 999999999
-      stream: true
-      quantization:
-        - method: int8
-          value: 100
-        - method: int4
-          value: 100
-
-  - layer_range: [0, 28]
-    model: bunnycore/Llama-3.2-3B-Long-Think
-    parameters:
-      weight: 0.5
-      density: 0.5
-      gamma: 0.01
-      normalize: true
-      int8_mask: true
-      random_seed: 0
-      temperature: 0.5
-      top_p: 0.65
-      inference: true
-      max_tokens: 999999999
-      stream: true
-      quantization:
-        - method: int8
-          value: 100
-        - method: int4
-          value: 100
-
-  - layer_range: [0, 28]
-    model: bunnycore/Llama-3.2-3B-Pure-RP
-    parameters:
-      weight: 0.5
-      density: 0.5
-      gamma: 0.01
-      normalize: true
-      int8_mask: true
-      random_seed: 0
-      temperature: 0.5
-      top_p: 0.65
-      inference: true
-      max_tokens: 999999999
-      stream: true
-      quantization:
-        - method: int8
-          value: 100
-        - method: int4
-          value: 100
-  - layer_range: [0, 28]
-    model: bunnycore/Llama-3.2-3B-Apex
-    parameters:
-      weight: 0.5
-      density: 0.5
-      gamma: 0.01
-      normalize: true
-      int8_mask: true
-      random_seed: 0
-      temperature: 0.5
-      top_p: 0.65
-      inference: true
-      max_tokens: 999999999
-      stream: true
-      quantization:
-        - method: int8
-          value: 100
-        - method: int4
-          value: 100
-  - layer_range: [0, 28]
-    model: bunnycore/Llama-3.2-3B-Mix-Skill
-    parameters:
-      weight: 0.5
-      density: 0.5
-      gamma: 0.01
-      normalize: true
-      int8_mask: true
-      random_seed: 0
-      temperature: 0.5
-      top_p: 0.65
-      inference: true
-      max_tokens: 999999999
-      stream: true
-      quantization:
-        - method: int8
-          value: 100
-        - method: int4
-          value: 100
-  - layer_range: [0, 28]
-    model: bunnycore/Llama-3.2-3B-Booval
-    parameters:
-      weight: 0.5
-      density: 0.5
-      gamma: 0.01
-      normalize: true
-      int8_mask: true
-      random_seed: 0
-      temperature: 0.5
-      top_p: 0.65
-      inference: true
-      max_tokens: 999999999
-      stream: true
-      quantization:
-        - method: int8
-          value: 100
-        - method: int4
-          value: 100
-  - layer_range: [0, 28]
-    model: bunnycore/Llama-3.2-3B-ProdigyPlusPlus
-    parameters:
-      weight: 0.5
-      density: 0.5
-      gamma: 0.01
-      normalize: true
-      int8_mask: true
-      random_seed: 0
-      temperature: 0.5
-      top_p: 0.65
-      inference: true
-      max_tokens: 999999999
-      stream: true
-      quantization:
-        - method: int8
-          value: 100
-        - method: int4
-          value: 100
-  - layer_range: [0, 28]
-    model: bunnycore/Llama-3.2-3B-Prodigy
-    parameters:
-      weight: 0.5
-      density: 0.5
-      gamma: 0.01
-      normalize: true
-      int8_mask: true
-      random_seed: 0
-      temperature: 0.5
-      top_p: 0.65
-      inference: true
-      max_tokens: 999999999
-      stream: true
-      quantization:
-        - method: int8
-          value: 100
-        - method: int4
-          value: 100
-  - layer_range: [0, 28]
-    model: bunnycore/Llama-3.2-3B-Sci-Think
-    parameters:
-      weight: 0.5
-      density: 0.5
-      gamma: 0.01
-      normalize: true
-      int8_mask: true
-      random_seed: 0
-      temperature: 0.5
-      top_p: 0.65
-      inference: true
-      max_tokens: 999999999
-      stream: true
-      quantization:
-        - method: int8
-          value: 100
-        - method: int4
-          value: 100
-  - layer_range: [0, 28]
-    model: bunnycore/Llama-3.2-3B-Stock
-    parameters:
-      weight: 0.5
-      density: 0.5
-      gamma: 0.01
-      normalize: true
-      int8_mask: true
-      random_seed: 0
-      temperature: 0.5
-      top_p: 0.65
-      inference: true
-      max_tokens: 999999999
-      stream: true
-      quantization:
-        - method: int8
-          value: 100
-        - method: int4
-          value: 100
-  - layer_range: [0, 28]
-    model: chuanli11/Llama-3.2-3B-Instruct-uncensored
-    parameters:
-      weight: 0.5
-      density: 0.5
-      gamma: 0.01
-      normalize: true
-      int8_mask: true
-      random_seed: 0
-      temperature: 0.5
-      top_p: 0.65
-      inference: true
-      max_tokens: 999999999
-      stream: true
-      quantization:
-        - method: int8
-          value: 100
-        - method: int4
-          value: 100
-  - layer_range: [0, 28]
-    model: ValiantLabs/Llama3.2-3B-Enigma
-    parameters:
-      weight: 0.5
-      density: 0.5
-      gamma: 0.01
-      normalize: true
-      int8_mask: true
-      random_seed: 0
-      temperature: 0.5
-      top_p: 0.65
-      inference: true
-      max_tokens: 999999999
-      stream: true
-      quantization:
-        - method: int8
-          value: 100
-        - method: int4
-          value: 100
-  - layer_range: [0, 28]
-    model: CarrotAI/Llama-3.2-Rabbit-Ko-3B-Instruct
-    parameters:
-      weight: 0.5
-      density: 0.5
-      gamma: 0.01
-      normalize: true
-      int8_mask: true
-      random_seed: 0
-      temperature: 0.5
-      top_p: 0.65
-      inference: true
-      max_tokens: 999999999
-      stream: true
-      quantization:
-        - method: int8
-          value: 100
-        - method: int4
-          value: 100
-  - layer_range: [0, 28]
-    model: AELLM/Llama-3.2-Chibi-3B
-    parameters:
-      weight: 0.5
-      density: 0.5
-      gamma: 0.01
-      normalize: true
-      int8_mask: true
-      random_seed: 0
-      temperature: 0.5
-      top_p: 0.65
-      inference: true
-      max_tokens: 999999999
-      stream: true
-      quantization:
-        - method: int8
-          value: 100
-        - method: int4
-          value: 100
-  - layer_range: [0, 28]
-    model: EmTpro01/llama-3.2-Code-Generator
-    parameters:
-      weight: 0.5
-      density: 0.5
-      gamma: 0.01
-      normalize: true
-      int8_mask: true
-      random_seed: 0
-      temperature: 0.5
-      top_p: 0.65
-      inference: true
-      max_tokens: 999999999
-      stream: true
-      quantization:
-        - method: int8
-          value: 100
-        - method: int4
-          value: 100
-  - layer_range: [0, 28]
-    model: disi-unibo-nlp/llama3.2-3B-SFT-medmcqa-triples-cot
-    parameters:
-      weight: 0.5
-      density: 0.5
-      gamma: 0.01
-      normalize: true
-      int8_mask: true
-      random_seed: 0
-      temperature: 0.5
-      top_p: 0.65
-      inference: true
-      max_tokens: 999999999
-      stream: true
-      quantization:
-        - method: int8
-          value: 100
-        - method: int4
-          value: 100
-  - layer_range: [0, 28]
-    model: Atharva26/llama-3.2-3b-mathdaily-chatbot
-    parameters:
-      weight: 0.5
-      density: 0.5
-      gamma: 0.01
-      normalize: true
-      int8_mask: true
-      random_seed: 0
-      temperature: 0.5
-      top_p: 0.65
-      inference: true
-      max_tokens: 999999999
-      stream: true
-      quantization:
-        - method: int8
-          value: 100
-        - method: int4
-          value: 100
-  - layer_range: [0, 28]
-    model: Diluksha/Llama_3.2_3B_sql_finetuned_full
-    parameters:
-      weight: 0.5
-      density: 0.5
-      gamma: 0.01
-      normalize: true
-      int8_mask: true
-      random_seed: 0
-      temperature: 0.5
-      top_p: 0.65
-      inference: true
-      max_tokens: 999999999
-      stream: true
-      quantization:
-        - method: int8
-          value: 100
-        - method: int4
-          value: 100
-  - layer_range: [0, 28]
-    model: bunnycore/Llama-3.2-3B-CodeReactor
-    parameters:
-      weight: 0.5
-      density: 0.5
-      gamma: 0.01
-      normalize: true
-      int8_mask: true
-      random_seed: 0
-      temperature: 0.5
-      top_p: 0.65
-      inference: true
-      max_tokens: 999999999
-      stream: true
-      quantization:
-        - method: int8
-          value: 100
-        - method: int4
-          value: 100
-  - layer_range: [0, 28]
-    model: AcademieDuNumerique/Llama-3.2-3B-SQL-Instruct
-    parameters:
-      weight: 0.5
-      density: 0.5
-      gamma: 0.01
-      normalize: true
-      int8_mask: true
-      random_seed: 0
-      temperature: 0.5
-      top_p: 0.65
-      inference: true
-      max_tokens: 999999999
-      stream: true
-      quantization:
-        - method: int8
-          value: 100
-        - method: int4
-          value: 100
-  - layer_range: [0, 28]
-    model: roger33303/Best_Model-llama3.2-3b-Instruct-Finetune-website-QnA
-    parameters:
-      weight: 0.5
-      density: 0.5
-      gamma: 0.01
-      normalize: true
-      int8_mask: true
-      random_seed: 0
-      temperature: 0.5
-      top_p: 0.65
-      inference: true
-      max_tokens: 999999999
-      stream: true
-      quantization:
-        - method: int8
-          value: 100
-        - method: int4
-          value: 100
-  - layer_range: [0, 28]
-    model: noaebbot/llama3.2-3B-insights
-    parameters:
-      weight: 0.5
-      density: 0.5
-      gamma: 0.01
-      normalize: true
-      int8_mask: true
-      random_seed: 0
-      temperature: 0.5
-      top_p: 0.65
-      inference: true
-      max_tokens: 999999999
-      stream: true
-      quantization:
-        - method: int8
-          value: 100
-        - method: int4
-          value: 100
-  - layer_range: [0, 28]
-    model: bunnycore/Llama-3.2-3B-TitanFusion-v2
-    parameters:
-      weight: 0.5
-      density: 0.5
-      gamma: 0.01
-      normalize: true
-      int8_mask: true
-      random_seed: 0
-      temperature: 0.5
-      top_p: 0.65
-      inference: true
-      max_tokens: 999999999
-      stream: true
-      quantization:
-        - method: int8
-          value: 100
-        - method: int4
-          value: 100
-  - layer_range: [0, 28]
-    model: bunnycore/Llama-3.2-3B-TitanFusion
-    parameters:
-      weight: 0.5
-      density: 0.5
-      gamma: 0.01
-      normalize: true
-      int8_mask: true
-      random_seed: 0
-      temperature: 0.5
-      top_p: 0.65
-      inference: true
-      max_tokens: 999999999
-      stream: true
-      quantization:
-        - method: int8
-          value: 100
-        - method: int4
-          value: 100
-  - layer_range: [0, 28]
-    model: bunnycore/Llama-3.2-3B-Mix
-    parameters:
-      weight: 0.5
-      density: 0.5
-      gamma: 0.01
-      normalize: true
-      int8_mask: true
-      random_seed: 0
-      temperature: 0.5
-      top_p: 0.65
-      inference: true
-      max_tokens: 999999999
-      stream: true
-      quantization:
-        - method: int8
-          value: 100
-        - method: int4
-          value: 100
-  - layer_range: [0, 28]
-    model: ValiantLabs/Llama3.2-3B-ShiningValiant2
-    parameters:
-      weight: 0.5
-      density: 0.5
-      gamma: 0.01
-      normalize: true
-      int8_mask: true
-      random_seed: 0
-      temperature: 0.5
-      top_p: 0.65
-      inference: true
-      max_tokens: 999999999
-      stream: true
-      quantization:
-        - method: int8
-          value: 100
-        - method: int4
-          value: 100
-  - layer_range: [0, 28]
-    model: TroyDoesAI/BlackSheep-Llama3.2-3B-Context_Obedient
-    parameters:
-      weight: 0.5
-      density: 0.5
-      gamma: 0.01
-      normalize: true
-      int8_mask: true
-      random_seed: 0
-      temperature: 0.5
-      top_p: 0.65
-      inference: true
-      max_tokens: 999999999
-      stream: true
-      quantization:
-        - method: int8
-          value: 100
-        - method: int4
-          value: 100
-  - layer_range: [0, 28]
-    model: BrainWave-ML/llama3.2-3B-codemath-orpo
-    parameters:
-      weight: 0.5
-      density: 0.5
-      gamma: 0.01
-      normalize: true
-      int8_mask: true
-      random_seed: 0
-      temperature: 0.5
-      top_p: 0.65
-      inference: true
-      max_tokens: 999999999
-      stream: true
-      quantization:
-        - method: int8
-          value: 100
-        - method: int4
-          value: 100
-  - layer_range: [0, 28]
-    model: CK0607/llama3.2-3B-CodeP
-    parameters:
-      weight: 0.5
-      density: 0.5
-      gamma: 0.01
-      normalize: true
-      int8_mask: true
-      random_seed: 0
-      temperature: 0.5
-      top_p: 0.65
-      inference: true
-      max_tokens: 999999999
-      stream: true
-      quantization:
-        - method: int8
-          value: 100
-        - method: int4
-          value: 100
-  - layer_range: [0, 28]
-    model: disi-unibo-nlp/llama3.2-3B-SFT-medqa-triples-cot
-    parameters:
-      weight: 0.5
-      density: 0.5
-      gamma: 0.01
-      normalize: true
-      int8_mask: true
-      random_seed: 0
-      temperature: 0.5
-      top_p: 0.65
-      inference: true
-      max_tokens: 999999999
-      stream: true
-      quantization:
-        - method: int8
-          value: 100
-        - method: int4
-          value: 100
-  - layer_range: [0, 28]
-    model: Isotonic/reasoning-llama3.2-3b
-    parameters:
-      weight: 0.5
-      density: 0.5
-      gamma: 0.01
-      normalize: true
-      int8_mask: true
-      random_seed: 0
-      temperature: 0.5
-      top_p: 0.65
-      inference: true
-      max_tokens: 999999999
-      stream: true
-      quantization:
-        - method: int8
-          value: 100
-        - method: int4
-          value: 100
-  - layer_range: [0, 28]
-    model: meta-llama/Llama-3.2-3B-Instruct
-    parameters:
-      weight: 0.5
-      density: 0.5
-      gamma: 0.01
-      normalize: true
-      int8_mask: true
-      random_seed: 0
-      temperature: 0.5
-      top_p: 0.65
-      inference: true
-      max_tokens: 999999999
-      stream: true
-      quantization:
-        - method: int8
-          value: 100
-        - method: int4
-          value: 100
-  - layer_range: [0, 28]
-    model: meta-llama/Llama-3.2-3B
-    parameters:
-      weight: 0.5
-      density: 0.5
-      gamma: 0.01
-      normalize: true
-      int8_mask: true
-      random_seed: 0
-      temperature: 0.5
-      top_p: 0.65
-      inference: true
-      max_tokens: 999999999
-      stream: true
-      quantization:
-        - method: int8
-          value: 100
-        - method: int4
-          value: 100
-
-merge_method: linear
-base_model: huihui-ai/Llama-3.2-3B-Instruct-abliterated
-weight: 1
-density: 0.9
-gamma: 0.01
-normalize: true
-int8_mask: true
-random_seed: 0
-temperature: 0.5
-top_p: 0.65
-inference: true
-max_tokens: 999999999
-stream: true
-quantization:
-- method: int8
-  value: 100
-- method: int4
-  value: 100
-parameters:
-  weight: 1
-  density: 0.9
-  gamma: 0.01
-  normalize: true
-  int8_mask: true
-  random_seed: 0
-  temperature: 0.5
-  top_p: 0.65
-  inference: true
-  max_tokens: 999999999
-  stream: true
-  quantization:
-    - method: int8
-      value: 100
-    - method: int4
-      value: 100
-dtype: float16
-```
+
+# Model Card for Model ID
+
+<!-- Provide a quick summary of what the model is/does. -->
+
+
+
+## Model Details
+
+### Model Description
+
+<!-- Provide a longer summary of what this model is. -->
+
+This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generated.
+
+- **Developed by:** [More Information Needed]
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+
+### Model Sources [optional]
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+<!-- Provide the basic links for the model. -->
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+
+## Uses
+
+<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
+
+### Direct Use
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+<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
+
+[More Information Needed]
+
+### Downstream Use [optional]
+
+<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
+
+[More Information Needed]
+
+### Out-of-Scope Use
+
+<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
+
+[More Information Needed]
+
+## Bias, Risks, and Limitations
+
+<!-- This section is meant to convey both technical and sociotechnical limitations. -->
+
+[More Information Needed]
+
+### Recommendations
+
+<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
+
+Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
+
+## How to Get Started with the Model
+
+Use the code below to get started with the model.
+
+[More Information Needed]
+
+## Training Details
+
+### Training Data
+
+<!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
+
+[More Information Needed]
+
+### Training Procedure
+
+<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
+
+#### Preprocessing [optional]
+
+[More Information Needed]
+
+
+#### Training Hyperparameters
+
+- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
+
+#### Speeds, Sizes, Times [optional]
+
+<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
+
+[More Information Needed]
+
+## Evaluation
+
+<!-- This section describes the evaluation protocols and provides the results. -->
+
+### Testing Data, Factors & Metrics
+
+#### Testing Data
+
+<!-- This should link to a Dataset Card if possible. -->
+
+[More Information Needed]
+
+#### Factors
+
+<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
+
+[More Information Needed]
+
+#### Metrics
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+<!-- These are the evaluation metrics being used, ideally with a description of why. -->
+
+[More Information Needed]
+
+### Results
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+#### Summary
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+
+
+## Model Examination [optional]
+
+<!-- Relevant interpretability work for the model goes here -->
+
+[More Information Needed]
+
+## Environmental Impact
+
+<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
+
+Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
+
+- **Hardware Type:** [More Information Needed]
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+
+## Technical Specifications [optional]
+
+### Model Architecture and Objective
+
+[More Information Needed]
+
+### Compute Infrastructure
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+[More Information Needed]
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+#### Hardware
+
+[More Information Needed]
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+#### Software
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+## Citation [optional]
+
+<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
+
+**BibTeX:**
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+
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+
+## Glossary [optional]
+
+<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
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+## More Information [optional]
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+[More Information Needed]
+
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