| | --- |
| | base_model: |
| | - teknium/OpenHermes-2-Mistral-7B |
| | - Project44/BioMistral-7B-0.1-PubMed-V2 |
| | library_name: transformers |
| | tags: |
| | - mergekit |
| | - merge |
| |
|
| | --- |
| | # BioMistral-7B-OpenHermes-slerp |
| |
|
| | 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 SLERP merge method. |
| |
|
| | ### Models Merged |
| |
|
| | The following models were included in the merge: |
| | * [teknium/OpenHermes-2-Mistral-7B](https://huggingface.co/teknium/OpenHermes-2-Mistral-7B) |
| | * [Project44/BioMistral-7B-0.1-PubMed-V2](https://huggingface.co/Project44/BioMistral-7B-0.1-PubMed-V2) |
| |
|
| | ### Configuration |
| |
|
| | The following YAML configuration was used to produce this model: |
| |
|
| | ```yaml |
| | |
| | slices: |
| | - sources: |
| | - model: teknium/OpenHermes-2-Mistral-7B |
| | layer_range: [0, 32] |
| | - model: Project44/BioMistral-7B-0.1-PubMed-V2 |
| | layer_range: [0, 32] |
| | merge_method: slerp |
| | base_model: teknium/OpenHermes-2-Mistral-7B |
| | parameters: |
| | t: |
| | - filter: self_attn |
| | value: [0, 0.5, 0.3, 0.7, 1] |
| | - filter: mlp |
| | value: [1, 0.5, 0.7, 0.3, 0] |
| | - value: 0.5 |
| | dtype: bfloat16 |
| | |
| | ``` |
| |
|