| base_model: | |
| - johnsnowlabs/JSL-MedLlama-3-8B-v15 | |
| - ProbeMedicalYonseiMAILab/medllama3-v20 | |
| - meta-llama/Meta-Llama-3-8B-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 [DARE](https://arxiv.org/abs/2311.03099) [TIES](https://arxiv.org/abs/2306.01708) 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: | |
| * [johnsnowlabs/JSL-MedLlama-3-8B-v15](https://huggingface.co/johnsnowlabs/JSL-MedLlama-3-8B-v15) | |
| * [ProbeMedicalYonseiMAILab/medllama3-v20](https://huggingface.co/ProbeMedicalYonseiMAILab/medllama3-v20) | |
| ### Configuration | |
| The following YAML configuration was used to produce this model: | |
| ```yaml | |
| models: | |
| - model: meta-llama/Meta-Llama-3-8B-Instruct | |
| # No parameters necessary for base model | |
| - model: johnsnowlabs/JSL-MedLlama-3-8B-v15 | |
| parameters: | |
| density: 0.5 | |
| weight: 0.5 | |
| - model: ProbeMedicalYonseiMAILab/medllama3-v20 | |
| parameters: | |
| density: 0.5 | |
| weight: 0.5 | |
| merge_method: dare_ties | |
| base_model: meta-llama/Meta-Llama-3-8B-Instruct | |
| dtype: bfloat16 | |
| ``` | |