BioLlama-Ko-8B
This is a merge of pre-trained language models created using mergekit.
π Evaluation
kormedmcqa(νκ΅μ΄ μν λ²€μΉλ§ν¬)
| Model | Doctor | Nurse | Pharm | Avg |
|---|---|---|---|---|
| gpt-4-0613 | 75.09 | 85.86 | 83.22 | 81.39 |
| iRASC/BioLlama-Ko-8B | 45.26 | 63.37 | 58.47 | 55.70 |
| gpt-3.5-turbo-0613 | 41.75 | 62.18 | 56.35 | 53.43 |
| llama2-70b | 42.46 | 63.54 | 53.26 | 53.09 |
| SOLAR-10.7B-v1.0 | 37.19 | 55.54 | 54.07 | 48.93 |
| ProbeMedicalYonseiMAILab/medllama3-v20 | 37.19 | 54.68 | 50.65 | 47.51 |
| beomi/Llama-3-Open-Ko-8B | 38.95 | 53.49 | 46.09 | 46.18 |
Merge Details
Merge Method
This model was merged using the DARE TIES merge method using ProbeMedicalYonseiMAILab/medllama3-v20 as a base.
Models Merged
The following models were included in the merge:
Configuration
The following YAML configuration was used to produce this model:
models:
- model: ProbeMedicalYonseiMAILab/medllama3-v20
- model: beomi/Llama-3-Open-Ko-8B
parameters:
density: 0.8
weight: 0.45
merge_method: dare_ties
base_model: ProbeMedicalYonseiMAILab/medllama3-v20
parameters:
int8_mask: true
dtype: bfloat16
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