--- base_model: - TareksLab/L33R1-T-BASE-70B - nbeerbower/llama3.1-kartoffeldes-70B - flammenai/Mahou-1.5-llama3.1-70B - flammenai/Llama3.1-Flammades-70B - tenyx/Llama3-TenyxChat-70B - SentientAGI/Dobby-Unhinged-Llama-3.3-70B library_name: transformers tags: - mergekit - merge --- # MERGEDT 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 [DARE TIES](https://arxiv.org/abs/2311.03099) merge method using [TareksLab/L33R1-T-BASE-70B](https://huggingface.co/TareksLab/L33R1-T-BASE-70B) as a base. ### Models Merged The following models were included in the merge: * [nbeerbower/llama3.1-kartoffeldes-70B](https://huggingface.co/nbeerbower/llama3.1-kartoffeldes-70B) * [flammenai/Mahou-1.5-llama3.1-70B](https://huggingface.co/flammenai/Mahou-1.5-llama3.1-70B) * [flammenai/Llama3.1-Flammades-70B](https://huggingface.co/flammenai/Llama3.1-Flammades-70B) * [tenyx/Llama3-TenyxChat-70B](https://huggingface.co/tenyx/Llama3-TenyxChat-70B) * [SentientAGI/Dobby-Unhinged-Llama-3.3-70B](https://huggingface.co/SentientAGI/Dobby-Unhinged-Llama-3.3-70B) ### Configuration The following YAML configuration was used to produce this model: ```yaml models: - model: nbeerbower/llama3.1-kartoffeldes-70B parameters: weight: 0.18 density: 0.5 - model: flammenai/Mahou-1.5-llama3.1-70B parameters: weight: 0.16 density: 0.5 - model: flammenai/Llama3.1-Flammades-70B parameters: weight: 0.16 density: 0.5 - model: SentientAGI/Dobby-Unhinged-Llama-3.3-70B parameters: weight: 0.16 density: 0.5 - model: tenyx/Llama3-TenyxChat-70B parameters: weight: 0.16 density: 0.5 - model: TareksLab/L33R1-T-BASE-70B parameters: weight: 0.18 density: 0.5 merge_method: dare_ties base_model: TareksLab/L33R1-T-BASE-70B parameters: normalize: false int8_mask: true dtype: float32 out_dtype: bfloat16 chat_template: llama3 tokenizer: source: union pad_to_multiple_of: 8 ```