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Med-ChimeraLlama-3-8B_SHERP
ChenWeiLi/Med-ChimeraLlama-3-8B_SHERP
Med-ChimeraLlama-3-8B_SHERP is a text generation model from ChenWeiLi. Use it when you need the model to write or continue text. It is set up for transformers. The card lists the license as llama3.
This is a merge of pre-trained language models created using mergekit.
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8B
16.1 GB on disk
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Repo makeup
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.safetensors16.1 GB · 100%
At a glance
- Task
- Text Generation
- Library
- transformers
- License
- llama3
- Model type
- llama
- Access
- Public
- Created
- May 14, 2024
- Updated
- May 20, 2024
- SHA
- c9cfa066
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Base models
Model card
From the Hugging Face model README
Chimera_MedLlama-3-8B
This is a merge of pre-trained language models created using mergekit.
Merge Details
Merge Method
This model was merged using the SLERP merge method.
Models Merged
The following models were included in the merge:
Evaluation
- multimedqa (0 shot)</br>
| Tasks | Version | Filter | n-shot | Metric | Value | Stderr | |
|---|---|---|---|---|---|---|---|
| - medmcqa | Yaml | none | 0 | acc | 0.6087 | ± | 0.0075 |
| none | 0 | acc_norm | 0.6087 | ± | 0.0075 | ||
| - medqa_4options | Yaml | none | 0 | acc | 0.6269 | ± | 0.0136 |
| none | 0 | acc_norm | 0.6269 | ± | 0.0136 | ||
| - anatomy (mmlu) | 0 | none | 0 | acc | 0.6963 | ± | 0.0397 |
| - clinical_knowledge (mmlu) | 0 | none | 0 | acc | 0.7585 | ± | 0.0263 |
| - college_biology (mmlu) | 0 | none | 0 | acc | 0.7847 | ± | 0.0344 |
| - college_medicine (mmlu) | 0 | none | 0 | acc | 0.6936 | ± | 0.0351 |
| - medical_genetics (mmlu) | 0 | none | 0 | acc | 0.8200 | ± | 0.0386 |
| - professional_medicine (mmlu) | 0 | none | 0 | acc | 0.7684 | ± | 0.0256 |
| stem | N/A | none | 0 | acc_norm | 0.6129 | ± | 0.0066 |
| none | 0 | acc | 0.6440 | ± | 0.0057 | ||
| - pubmedqa | 1 | none | 0 | acc | 0.7480 | ± | 0.0194 |
| Groups | Version | Filter | n-shot | Metric | Value | Stderr | |
|---|---|---|---|---|---|---|---|
| stem | N/A | none | 0 | acc_norm | 0.6129 | ± | 0.0066 |
| none | 0 | acc | 0.6440 | ± | 0.0057 |
Configuration
The following YAML configuration was used to produce this model:
slices:
- sources:
- model: mlabonne/ChimeraLlama-3-8B-v3
layer_range: [0, 32]
- model: johnsnowlabs/JSL-MedLlama-3-8B-v2.0
layer_range: [0, 32]
merge_method: slerp
base_model: mlabonne/ChimeraLlama-3-8B-v3
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
- Task
- Text Generation
- Library
- transformers
- Type
- llama
- License
- llama3
- Created
- May 14, 2024
- Updated
- May 20, 2024