| base_model: | |
| - meta-llama/Llama-3.1-8B | |
| - Alelcv27/llama3-8b-math-dpo | |
| - Alelcv27/llama3-8b-code-dpo | |
| library_name: transformers | |
| tags: | |
| - mergekit | |
| - merge | |
| # llama3-8b-dare-linear-v4 | |
| 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 linear [DARE](https://arxiv.org/abs/2311.03099) merge method using [meta-llama/Llama-3.1-8B](https://huggingface.co/meta-llama/Llama-3.1-8B) as a base. | |
| ### Models Merged | |
| The following models were included in the merge: | |
| * [Alelcv27/llama3-8b-math-dpo](https://huggingface.co/Alelcv27/llama3-8b-math-dpo) | |
| * [Alelcv27/llama3-8b-code-dpo](https://huggingface.co/Alelcv27/llama3-8b-code-dpo) | |
| ### Configuration | |
| The following YAML configuration was used to produce this model: | |
| ```yaml | |
| base_model: meta-llama/Llama-3.1-8B | |
| dtype: float16 | |
| merge_method: dare_linear | |
| parameters: | |
| normalize: 1.0 | |
| slices: | |
| - sources: | |
| - layer_range: [0, 32] | |
| model: Alelcv27/llama3-8b-code-dpo | |
| parameters: | |
| weight: 0.7 | |
| - layer_range: [0, 32] | |
| model: Alelcv27/llama3-8b-math-dpo | |
| parameters: | |
| weight: 1.0 | |
| - layer_range: [0, 32] | |
| model: meta-llama/Llama-3.1-8B | |
| ``` | |