--- base_model: - huihui-ai/Llama-3.2-3B-Instruct-abliterated - meta-llama/Llama-3.2-3B - chuanli11/Llama-3.2-3B-Instruct-uncensored - bunnycore/Llama-3.2-3B-ProdigyPlusPlus - meta-llama/Llama-3.2-3B-Instruct 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: * [meta-llama/Llama-3.2-3B](https://huggingface.co/meta-llama/Llama-3.2-3B) * [chuanli11/Llama-3.2-3B-Instruct-uncensored](https://huggingface.co/chuanli11/Llama-3.2-3B-Instruct-uncensored) * [bunnycore/Llama-3.2-3B-ProdigyPlusPlus](https://huggingface.co/bunnycore/Llama-3.2-3B-ProdigyPlusPlus) * [meta-llama/Llama-3.2-3B-Instruct](https://huggingface.co/meta-llama/Llama-3.2-3B-Instruct) ### Configuration The following YAML configuration was used to produce this model: ```yaml base_model: model: huihui-ai/Llama-3.2-3B-Instruct-abliterated layer_range: - 0 - 28 merge_method: ties merge_method_sequence: - dare_ties - slerp - ties parameters: batch_size: 32 density: 0.5 int8_mask: true layer_range: - 0 - 28 model.embed_tokens.weight.t: 1.0 normalize: false t: - filter: self_attn value: - 0 - 0.5 - 0.3 - 0.7 - 1 - filter: mlp value: - 1 - 0.5 - 0.7 - 0.3 - 0 - value: 0.5 weight: 0.5 slices: - sources: - density: 0.5 layer_range: - 0 - 28 model: meta-llama/Llama-3.2-3B-Instruct weight: 0.5 - density: 0.5 layer_range: - 0 - 28 model: meta-llama/Llama-3.2-3B weight: 0.5 - density: 0.5 layer_range: - 0 - 28 model: chuanli11/Llama-3.2-3B-Instruct-uncensored weight: 0.5 - density: 0.5 layer_range: - 0 - 28 model: huihui-ai/Llama-3.2-3B-Instruct-abliterated weight: 0.5 - density: 0.5 layer_range: - 0 - 28 model: bunnycore/Llama-3.2-3B-ProdigyPlusPlus weight: 0.5 tokenizer_source: union ```