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--- |
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base_model: |
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- sethuiyer/Medichat-Llama3-8B |
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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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# medLlama-3-8B_DARE |
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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 [DARE](https://arxiv.org/abs/2311.03099) [TIES](https://arxiv.org/abs/2306.01708) merge method using [mlabonne/ChimeraLlama-3-8B-v3](https://huggingface.co/mlabonne/ChimeraLlama-3-8B-v3) as a base. |
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### Models Merged |
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The following models were included in the merge: |
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* [sethuiyer/Medichat-Llama3-8B](https://huggingface.co/sethuiyer/Medichat-Llama3-8B) |
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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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- multimedq (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 |0.5728|± |0.0076| |
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| | |none | 0|acc_norm|0.5728|± |0.0076| |
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| - medqa_4options |Yaml |none | 0|acc |0.5923|± |0.0138| |
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| | |none | 0|acc_norm|0.5923|± |0.0138| |
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| - anatomy (mmlu) | 0|none | 0|acc |0.7111|± |0.0392| |
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| - clinical_knowledge (mmlu) | 0|none | 0|acc |0.7547|± |0.0265| |
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| - college_biology (mmlu) | 0|none | 0|acc |0.7917|± |0.0340| |
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| - college_medicine (mmlu) | 0|none | 0|acc |0.6647|± |0.0360| |
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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 |0.7426|± |0.0266| |
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|stem |N/A |none | 0|acc_norm|0.5773|± |0.0067| |
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| | |none | 0|acc |0.6145|± |0.0057| |
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| - pubmedqa | 1|none | 0|acc |0.7400|± |0.0196| |
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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|0.5773|± |0.0067| |
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| | |none | 0|acc |0.6145|± |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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models: |
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- model: mlabonne/ChimeraLlama-3-8B-v3 |
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# No parameters necessary for base model |
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- model: sethuiyer/Medichat-Llama3-8B |
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parameters: |
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density: 0.53 |
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weight: 0.5 |
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- model: johnsnowlabs/JSL-MedLlama-3-8B-v2.0 |
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parameters: |
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density: 0.53 |
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weight: 0.5 |
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merge_method: dare_ties |
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base_model: mlabonne/ChimeraLlama-3-8B-v3 |
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parameters: |
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int8_mask: true |
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dtype: float16 |
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``` |
