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--- |
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base_model: |
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- mlabonne/ChimeraLlama-3-8B-v3 |
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- johnsnowlabs/JSL-MedLlama-3-8B-v2.0 |
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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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license: llama3 |
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--- |
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# Chimera_MedLlama-3-8B |
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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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* [mlabonne/ChimeraLlama-3-8B-v3](https://huggingface.co/mlabonne/ChimeraLlama-3-8B-v3) |
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* [johnsnowlabs/JSL-MedLlama-3-8B-v2.0](https://huggingface.co/johnsnowlabs/JSL-MedLlama-3-8B-v2.0) |
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### Evaluation |
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- multimedqa (0 shot)</br> |
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| Tasks |Version|Filter|n-shot| Metric |Value | |Stderr| |
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|-------------------------------|-------|------|-----:|--------|-----:|---|-----:| |
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| - medmcqa |Yaml |none | 0|acc |0.6087|± |0.0075| |
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| | |none | 0|acc_norm|0.6087|± |0.0075| |
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| - medqa_4options |Yaml |none | 0|acc |0.6269|± |0.0136| |
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| | |none | 0|acc_norm|0.6269|± |0.0136| |
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| - anatomy (mmlu) | 0|none | 0|acc |0.6963|± |0.0397| |
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| - clinical_knowledge (mmlu) | 0|none | 0|acc |0.7585|± |0.0263| |
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| - college_biology (mmlu) | 0|none | 0|acc |0.7847|± |0.0344| |
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| - college_medicine (mmlu) | 0|none | 0|acc |0.6936|± |0.0351| |
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| - medical_genetics (mmlu) | 0|none | 0|acc |0.8200|± |0.0386| |
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| - professional_medicine (mmlu)| 0|none | 0|acc |0.7684|± |0.0256| |
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|stem |N/A |none | 0|acc_norm|0.6129|± |0.0066| |
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| | |none | 0|acc |0.6440|± |0.0057| |
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| - pubmedqa | 1|none | 0|acc |0.7480|± |0.0194| |
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|Groups|Version|Filter|n-shot| Metric |Value | |Stderr| |
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|------|-------|------|-----:|--------|-----:|---|-----:| |
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|stem |N/A |none | 0|acc_norm|0.6129|± |0.0066| |
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| | |none | 0|acc |0.6440|± |0.0057| |
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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: mlabonne/ChimeraLlama-3-8B-v3 |
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layer_range: [0, 32] |
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- model: johnsnowlabs/JSL-MedLlama-3-8B-v2.0 |
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layer_range: [0, 32] |
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merge_method: slerp |
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base_model: mlabonne/ChimeraLlama-3-8B-v3 |
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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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``` |
