base_model:
- mlabonne/ChimeraLlama-3-8B-v3
- johnsnowlabs/JSL-MedLlama-3-8B-v2.0
library_name: transformers
tags:
- mergekit
- merge
license: llama3
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)
| 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