--- base_model: - abacusai/Dracarys2-Llama-3.1-70B-Instruct - mlabonne/Hermes-3-Llama-3.1-70B-lorablated - huihui-ai/Llama-3.1-Tulu-3-70B-abliterated - MaziyarPanahi/calme-2.3-llama3.1-70b - nbeerbower/Llama-3.1-Nemotron-lorablated-70B - migtissera/Tess-3-Llama-3.1-70B 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 [Model Stock](https://arxiv.org/abs/2403.19522) merge method using [nbeerbower/Llama-3.1-Nemotron-lorablated-70B](https://huggingface.co/nbeerbower/Llama-3.1-Nemotron-lorablated-70B) as a base. ### Models Merged The following models were included in the merge: * [abacusai/Dracarys2-Llama-3.1-70B-Instruct](https://huggingface.co/abacusai/Dracarys2-Llama-3.1-70B-Instruct) * [mlabonne/Hermes-3-Llama-3.1-70B-lorablated](https://huggingface.co/mlabonne/Hermes-3-Llama-3.1-70B-lorablated) * [huihui-ai/Llama-3.1-Tulu-3-70B-abliterated](https://huggingface.co/huihui-ai/Llama-3.1-Tulu-3-70B-abliterated) * [MaziyarPanahi/calme-2.3-llama3.1-70b](https://huggingface.co/MaziyarPanahi/calme-2.3-llama3.1-70b) * [migtissera/Tess-3-Llama-3.1-70B](https://huggingface.co/migtissera/Tess-3-Llama-3.1-70B) ### Configuration The following YAML configuration was used to produce this model: ```yaml merge_method: model_stock models: - model: nbeerbower/Llama-3.1-Nemotron-lorablated-70B parameters: weight: 1.0 - model: mlabonne/Hermes-3-Llama-3.1-70B-lorablated parameters: weight: 1.0 - model: huihui-ai/Llama-3.1-Tulu-3-70B-abliterated parameters: weight: 1.0 - model: abacusai/Dracarys2-Llama-3.1-70B-Instruct parameters: weight: 1.0 - model: MaziyarPanahi/calme-2.3-llama3.1-70b parameters: weight: 1.0 - model: migtissera/Tess-3-Llama-3.1-70B parameters: weight: 1.0 base_model: nbeerbower/Llama-3.1-Nemotron-lorablated-70B dtype: bfloat16 out_dtype: bfloat16 parameters: int8_mask: true normalize: true rescale: false filter_wise: false smooth: false allow_negative_weights: false chat_template: auto tokenizer: source: union ```