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--- |
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base_model: |
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- AELLM/Llama-3.2-Chibi-3B |
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- huihui-ai/Llama-3.2-3B-Instruct-abliterated |
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- ValiantLabs/Llama3.2-3B-Enigma |
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- CarrotAI/Llama-3.2-Rabbit-Ko-3B-Instruct |
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- EmTpro01/llama-3.2-Code-Generator |
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- disi-unibo-nlp/llama3.2-3B-SFT-medmcqa-triples-cot |
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- chuanli11/Llama-3.2-3B-Instruct-uncensored |
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library_name: transformers |
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tags: |
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- mergekit |
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- merge |
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--- |
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# merge |
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This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit). |
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## Merge Details |
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### Merge Method |
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This model was merged using the [TIES](https://arxiv.org/abs/2306.01708) 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. |
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### Models Merged |
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The following models were included in the merge: |
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* [AELLM/Llama-3.2-Chibi-3B](https://huggingface.co/AELLM/Llama-3.2-Chibi-3B) |
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* [ValiantLabs/Llama3.2-3B-Enigma](https://huggingface.co/ValiantLabs/Llama3.2-3B-Enigma) |
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* [CarrotAI/Llama-3.2-Rabbit-Ko-3B-Instruct](https://huggingface.co/CarrotAI/Llama-3.2-Rabbit-Ko-3B-Instruct) |
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* [EmTpro01/llama-3.2-Code-Generator](https://huggingface.co/EmTpro01/llama-3.2-Code-Generator) |
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* [disi-unibo-nlp/llama3.2-3B-SFT-medmcqa-triples-cot](https://huggingface.co/disi-unibo-nlp/llama3.2-3B-SFT-medmcqa-triples-cot) |
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* [chuanli11/Llama-3.2-3B-Instruct-uncensored](https://huggingface.co/chuanli11/Llama-3.2-3B-Instruct-uncensored) |
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### Configuration |
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The following YAML configuration was used to produce this model: |
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```yaml |
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models: |
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- model: chuanli11/Llama-3.2-3B-Instruct-uncensored |
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parameters: |
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density: 0.5 |
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weight: 0.5 |
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- model: ValiantLabs/Llama3.2-3B-Enigma |
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parameters: |
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density: 0.5 |
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weight: 0.5 |
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- model: CarrotAI/Llama-3.2-Rabbit-Ko-3B-Instruct |
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parameters: |
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density: 0.5 |
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weight: 0.5 |
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- model: AELLM/Llama-3.2-Chibi-3B |
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parameters: |
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density: 0.5 |
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weight: 0.5 |
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- model: EmTpro01/llama-3.2-Code-Generator |
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parameters: |
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density: 0.5 |
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weight: 0.5 |
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- model: disi-unibo-nlp/llama3.2-3B-SFT-medmcqa-triples-cot |
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parameters: |
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density: 0.5 |
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weight: 0.5 |
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merge_method: ties |
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base_model: huihui-ai/Llama-3.2-3B-Instruct-abliterated |
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parameters: |
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normalize: false |
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int8_mask: true |
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dtype: float16 |
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``` |
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