--- base_model: - ChaoticNeutrals/Hathor_RP-v.01-L3-8B - Sao10K/L3-8B-Stheno-v3.2 - ChaoticNeutrals/Poppy_Porpoise-1.4-L3-8B - meta-llama/Meta-Llama-3-8B-Instruct - ChaoticNeutrals/Templar_v1_8B - ChaoticNeutrals/Domain-Fusion-L3-8B 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 [task arithmetic](https://arxiv.org/abs/2212.04089) merge method using [meta-llama/Meta-Llama-3-8B-Instruct](https://huggingface.co/meta-llama/Meta-Llama-3-8B-Instruct) as a base. ### Models Merged The following models were included in the merge: * [ChaoticNeutrals/Hathor_RP-v.01-L3-8B](https://huggingface.co/ChaoticNeutrals/Hathor_RP-v.01-L3-8B) * [Sao10K/L3-8B-Stheno-v3.2](https://huggingface.co/Sao10K/L3-8B-Stheno-v3.2) * [ChaoticNeutrals/Poppy_Porpoise-1.4-L3-8B](https://huggingface.co/ChaoticNeutrals/Poppy_Porpoise-1.4-L3-8B) * [ChaoticNeutrals/Templar_v1_8B](https://huggingface.co/ChaoticNeutrals/Templar_v1_8B) * [ChaoticNeutrals/Domain-Fusion-L3-8B](https://huggingface.co/ChaoticNeutrals/Domain-Fusion-L3-8B) ### Configuration The following YAML configuration was used to produce this model: ```yaml models: - model: meta-llama/Meta-Llama-3-8B-Instruct - model: meta-llama/Meta-Llama-3-8B-Instruct parameters: weight: -0.5 - model: ChaoticNeutrals/Templar_v1_8B parameters: weight: [0.5, 0.125, 0.125, -0.125, -0.125] - model: ChaoticNeutrals/Hathor_RP-v.01-L3-8B parameters: weight: [0.125, 0.5, -0.125, -0.125, 0.125] - model: Sao10K/L3-8B-Stheno-v3.2 parameters: weight: [-0.125, 0.125, 0.5, 0.125, -0.125] - model: ChaoticNeutrals/Poppy_Porpoise-1.4-L3-8B parameters: weight: [0.125, -0.125, -0.125, 0.5, 0.125] - model: ChaoticNeutrals/Domain-Fusion-L3-8B parameters: weight: [-0.125, -0.125, 0.125, 0.125, 0.5] merge_method: task_arithmetic base_model: meta-llama/Meta-Llama-3-8B-Instruct parameters: normalize: false dtype: bfloat16 ```