JSL-Med-Sft-Llama-3-8B

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 info@johnsnowlabs.com.

πŸ’» Usage

!pip install -qU transformers accelerate

from transformers import AutoTokenizer
import transformers
import torch

model = "johnsnowlabs/JSL-Med-Sft-Llama-3-8B"
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"])

πŸ† Evaluation

Tasks Version Filter n-shot Metric Value Stderr
stem N/A none 0 acc_norm 0.5803 Β± 0.0067
none 0 acc 0.6141 Β± 0.0057
- medmcqa Yaml none 0 acc 0.5752 Β± 0.0076
none 0 acc_norm 0.5752 Β± 0.0076
- medqa_4options Yaml none 0 acc 0.5970 Β± 0.0138
none 0 acc_norm 0.5970 Β± 0.0138
- anatomy (mmlu) 0 none 0 acc 0.6963 Β± 0.0397
- clinical_knowledge (mmlu) 0 none 0 acc 0.7472 Β± 0.0267
- college_biology (mmlu) 0 none 0 acc 0.7847 Β± 0.0344
- college_medicine (mmlu) 0 none 0 acc 0.6185 Β± 0.0370
- medical_genetics (mmlu) 0 none 0 acc 0.8300 Β± 0.0378
- professional_medicine (mmlu) 0 none 0 acc 0.7022 Β± 0.0278
- pubmedqa 1 none 0 acc 0.7480 Β± 0.0194
Groups Version Filter n-shot Metric Value Stderr
stem N/A none 0 acc_norm 0.5803 Β± 0.0067
none 0 acc 0.6141 Β± 0.0057
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