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BioLlama-Ko-8B - GGUF
- Model creator: https://huggingface.co/iRASC/
- Original model: https://huggingface.co/iRASC/BioLlama-Ko-8B/
| Name | Quant method | Size |
|---|---|---|
| BioLlama-Ko-8B.Q2_K.gguf | Q2_K | 2.96GB |
| BioLlama-Ko-8B.IQ3_XS.gguf | IQ3_XS | 3.28GB |
| BioLlama-Ko-8B.IQ3_S.gguf | IQ3_S | 3.43GB |
| BioLlama-Ko-8B.Q3_K_S.gguf | Q3_K_S | 3.41GB |
| BioLlama-Ko-8B.IQ3_M.gguf | IQ3_M | 3.52GB |
| BioLlama-Ko-8B.Q3_K.gguf | Q3_K | 3.74GB |
| BioLlama-Ko-8B.Q3_K_M.gguf | Q3_K_M | 3.74GB |
| BioLlama-Ko-8B.Q3_K_L.gguf | Q3_K_L | 4.03GB |
| BioLlama-Ko-8B.IQ4_XS.gguf | IQ4_XS | 4.18GB |
| BioLlama-Ko-8B.Q4_0.gguf | Q4_0 | 4.34GB |
| BioLlama-Ko-8B.IQ4_NL.gguf | IQ4_NL | 4.38GB |
| BioLlama-Ko-8B.Q4_K_S.gguf | Q4_K_S | 4.37GB |
| BioLlama-Ko-8B.Q4_K.gguf | Q4_K | 4.58GB |
| BioLlama-Ko-8B.Q4_K_M.gguf | Q4_K_M | 4.58GB |
| BioLlama-Ko-8B.Q4_1.gguf | Q4_1 | 4.78GB |
| BioLlama-Ko-8B.Q5_0.gguf | Q5_0 | 5.21GB |
| BioLlama-Ko-8B.Q5_K_S.gguf | Q5_K_S | 5.21GB |
| BioLlama-Ko-8B.Q5_K.gguf | Q5_K | 5.34GB |
| BioLlama-Ko-8B.Q5_K_M.gguf | Q5_K_M | 5.34GB |
| BioLlama-Ko-8B.Q5_1.gguf | Q5_1 | 5.65GB |
| BioLlama-Ko-8B.Q6_K.gguf | Q6_K | 6.14GB |
| BioLlama-Ko-8B.Q8_0.gguf | Q8_0 | 7.95GB |
Original model description:
base_model: - beomi/Llama-3-Open-Ko-8B - ProbeMedicalYonseiMAILab/medllama3-v20 library_name: transformers tags: - mergekit - merge license: apache-2.0 datasets: - sean0042/KorMedMCQA
BioLlama-Ko-8B
This is a merge of pre-trained language models created using mergekit.
๐ Evaluation
kormedmcqa(ํ๊ตญ์ด ์ํ ๋ฒค์น๋งํฌ)
| 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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