JSL-MedMNX-7B-SFT
JSL-MedMNX-7B-SFT is a 7 Billion parameter model developed by John Snow Labs.
This model is SFT-finetuned on alpaca format 11k medical dataset over the base model JSL-MedMNX-7B. Checkout the perofrmance on Open Medical LLM Leaderboard.
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.
π» Usage
!pip install -qU transformers accelerate
from transformers import AutoTokenizer
import transformers
import torch
model = "johnsnowlabs/JSL-MedMNX-7B-SFT"
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"])
π Evaluation
Tasks | Version | Filter | n-shot | Metric | Value | Stderr | |
---|---|---|---|---|---|---|---|
stem | N/A | none | 0 | acc_norm | 0.5209 | Β± | 0.0068 |
none | 0 | acc | 0.5675 | Β± | 0.0058 | ||
- medmcqa | Yaml | none | 0 | acc | 0.5152 | Β± | 0.0077 |
none | 0 | acc_norm | 0.5152 | Β± | 0.0077 | ||
- medqa_4options | Yaml | none | 0 | acc | 0.5397 | Β± | 0.0140 |
none | 0 | acc_norm | 0.5397 | Β± | 0.0140 | ||
- anatomy (mmlu) | 0 | none | 0 | acc | 0.6593 | Β± | 0.0409 |
- clinical_knowledge (mmlu) | 0 | none | 0 | acc | 0.7245 | Β± | 0.0275 |
- college_biology (mmlu) | 0 | none | 0 | acc | 0.7431 | Β± | 0.0365 |
- college_medicine (mmlu) | 0 | none | 0 | acc | 0.6532 | Β± | 0.0363 |
- medical_genetics (mmlu) | 0 | none | 0 | acc | 0.7300 | Β± | 0.0446 |
- professional_medicine (mmlu) | 0 | none | 0 | acc | 0.7206 | Β± | 0.0273 |
- pubmedqa | 1 | none | 0 | acc | 0.7720 | Β± | 0.0188 |
Groups | Version | Filter | n-shot | Metric | Value | Stderr | |
---|---|---|---|---|---|---|---|
stem | N/A | none | 0 | acc_norm | 0.5209 | Β± | 0.0068 |
none | 0 | acc | 0.5675 | Β± | 0.0058 |
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