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metadata
tags:
  - llama-3-8b
  - sft
  - medical
base_model:
  - meta-llama/Meta-Llama-3-8B
license: cc-by-nc-nd-4.0

JSL-MedLlama-3-8B-v2.0

This model is developed by John Snow Labs.

This model is available under a CC-BY-NC-ND license and must also conform to this Acceptable Use Policy. If you need to license this model for commercial use, please contact us at [email protected].

💻 Usage

!pip install -qU transformers accelerate

from transformers import AutoTokenizer
import transformers
import torch

model = "johnsnowlabs/JSL-MedLlama-3-8B-v2.0"
messages = [{"role": "user", "content": "What is a large language model?"}]

tokenizer = AutoTokenizer.from_pretrained(model)
prompt = tokenizer.apply_chat_template(messages, tokenize=False, add_generation_prompt=True)
pipeline = transformers.pipeline(
    "text-generation",
    model=model,
    torch_dtype=torch.float16,
    device_map="auto",
)

outputs = pipeline(prompt, max_new_tokens=256, do_sample=True, temperature=0.7, top_k=50, top_p=0.95)
print(outputs[0]["generated_text"])

🏆 Evaluation

Tasks Version Filter n-shot Metric Value Stderr
stem N/A none 0 acc 0.6466 ± 0.0056
none 0 acc_norm 0.6124 ± 0.0066
- medmcqa Yaml none 0 acc 0.6118 ± 0.0075
none 0 acc_norm 0.6118 ± 0.0075
- medqa_4options Yaml none 0 acc 0.6143 ± 0.0136
none 0 acc_norm 0.6143 ± 0.0136
- anatomy (mmlu) 0 none 0 acc 0.7185 ± 0.0389
- clinical_knowledge (mmlu) 0 none 0 acc 0.7811 ± 0.0254
- college_biology (mmlu) 0 none 0 acc 0.8264 ± 0.0317
- college_medicine (mmlu) 0 none 0 acc 0.7110 ± 0.0346
- medical_genetics (mmlu) 0 none 0 acc 0.8300 ± 0.0378
- professional_medicine (mmlu) 0 none 0 acc 0.7868 ± 0.0249
- pubmedqa 1 none 0 acc 0.7420 ± 0.0196
Groups Version Filter n-shot Metric Value Stderr
stem N/A none 0 acc 0.6466 ± 0.0056
none 0 acc_norm 0.6124 ± 0.0066