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JSL-MedPhi2-2.7B - bnb 4bits

Original model description:

tags: - phi-2 - sft - medical base_model: - microsoft/phi2 license: cc-by-nc-nd-4.0

JSL-MedPhi2-2.7B

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].

πŸ’» Usage

!pip install -qU transformers accelerate

from transformers import AutoTokenizer
import transformers
import torch

model = "johnsnowlabs/JSL-MedPhi2-2.7B"
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 0.3904 Β± 0.0066
none 0 acc 0.4402 Β± 0.0058
- medmcqa Yaml none 0 acc 0.3899 Β± 0.0075
none 0 acc_norm 0.3899 Β± 0.0075
- medqa_4options Yaml none 0 acc 0.3920 Β± 0.0137
none 0 acc_norm 0.3920 Β± 0.0137
- anatomy (mmlu) 0 none 0 acc 0.4815 Β± 0.0432
- clinical_knowledge (mmlu) 0 none 0 acc 0.6340 Β± 0.0296
- college_biology (mmlu) 0 none 0 acc 0.6181 Β± 0.0406
- college_medicine (mmlu) 0 none 0 acc 0.5665 Β± 0.0378
- medical_genetics (mmlu) 0 none 0 acc 0.6300 Β± 0.0485
- professional_medicine (mmlu) 0 none 0 acc 0.4522 Β± 0.0302
- pubmedqa 1 none 0 acc 0.7300 Β± 0.0199
Groups Version Filter n-shot Metric Value Stderr
stem N/A none 0 acc_norm 0.3904 Β± 0.0066
none 0 acc 0.4402 Β± 0.0058
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