--- base_model: - Isotonic/reasoning-llama3.2-3b - huihui-ai/Llama-3.2-3B-Instruct-abliterated - ValiantLabs/Llama3.2-3B-ShiningValiant2 - BrainWave-ML/llama3.2-3B-codemath-orpo - disi-unibo-nlp/llama3.2-3B-SFT-medqa-triples-cot - TroyDoesAI/BlackSheep-Llama3.2-3B-Context_Obedient - CK0607/llama3.2-3B-CodeP library_name: transformers tags: - mergekit - merge --- # 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 [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. ### Models Merged The following models were included in the merge: * [Isotonic/reasoning-llama3.2-3b](https://huggingface.co/Isotonic/reasoning-llama3.2-3b) * [ValiantLabs/Llama3.2-3B-ShiningValiant2](https://huggingface.co/ValiantLabs/Llama3.2-3B-ShiningValiant2) * [BrainWave-ML/llama3.2-3B-codemath-orpo](https://huggingface.co/BrainWave-ML/llama3.2-3B-codemath-orpo) * [disi-unibo-nlp/llama3.2-3B-SFT-medqa-triples-cot](https://huggingface.co/disi-unibo-nlp/llama3.2-3B-SFT-medqa-triples-cot) * [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) ### Configuration The following YAML configuration was used to produce this model: ```yaml models: - model: ValiantLabs/Llama3.2-3B-ShiningValiant2 parameters: density: 0.5 weight: 0.5 - model: TroyDoesAI/BlackSheep-Llama3.2-3B-Context_Obedient parameters: density: 0.5 weight: 0.5 - model: BrainWave-ML/llama3.2-3B-codemath-orpo parameters: density: 0.5 weight: 0.5 - model: CK0607/llama3.2-3B-CodeP parameters: density: 0.5 weight: 0.5 - model: disi-unibo-nlp/llama3.2-3B-SFT-medqa-triples-cot parameters: density: 0.5 weight: 0.5 - model: Isotonic/reasoning-llama3.2-3b parameters: density: 0.5 weight: 0.5 merge_method: ties base_model: huihui-ai/Llama-3.2-3B-Instruct-abliterated parameters: normalize: false int8_mask: true dtype: float16 ```