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--- |
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base_model: |
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- LeroyDyer/Mixtral_AI_MediTron |
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- LeroyDyer/Mixtral_AI_CyberTron |
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library_name: transformers |
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tags: |
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- mergekit |
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- merge |
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- code |
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- biology |
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- chemistry |
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- medical |
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- not-for-all-audiences |
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- text-generation-inference |
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- legal |
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- finance |
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datasets: |
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- medalpaca/medical_meadow_pubmed_causal |
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- ruslanmv/ai-medical-chatbot |
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- medalpaca/medical_meadow_mediqa |
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license: mit |
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--- |
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not the highest of the collection but (secretly the leader as all loras will be pplied to this model; etc as i work its this model will be improved towards growing the other mdoels of which may skew!) |
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# merge |
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This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit). |
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## Merge Details |
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### Merge Method |
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This model was merged using the SLERP merge method. |
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### Models Merged |
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The following models were included in the merge: |
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* [LeroyDyer/Mixtral_AI_MediTron](https://huggingface.co/LeroyDyer/Mixtral_AI_MediTron) |
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* [LeroyDyer/Mixtral_AI_CyberTron](https://huggingface.co/LeroyDyer/Mixtral_AI_CyberTron) |
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### Configuration |
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The following YAML configuration was used to produce this model: |
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```yaml |
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slices: |
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- sources: |
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- model: LeroyDyer/Mixtral_AI_MediTron |
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layer_range: [0, 32] |
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- model: LeroyDyer/Mixtral_AI_CyberTron |
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layer_range: [0, 32] |
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merge_method: slerp |
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base_model: LeroyDyer/Mixtral_AI_CyberTron |
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parameters: |
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t: |
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- filter: self_attn |
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value: [0, 0.5, 0.3, 0.7, 1] |
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- filter: mlp |
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value: [1, 0.5, 0.7, 0.3, 0] |
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- value: 0.5 |
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dtype: bfloat16 |
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``` |
