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.

💻 Usage

python

!pip install -qU transformers accelerate

from transformers import AutoTokenizer
import transformers
import torch

model = "johnsnowlabs/JSL-MedMX-7X"
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	Metric	Value		Stderr
stem	N/A	none	acc_norm	0.5783	±	0.0067
		none	acc	0.6177	±	0.0057
- medmcqa	Yaml	none	acc	0.5668	±	0.0077
		none	acc_norm	0.5668	±	0.0077
- medqa_4options	Yaml	none	acc	0.6159	±	0.0136
		none	acc_norm	0.6159	±	0.0136
- anatomy (mmlu)	0	none	acc	0.7111	±	0.0392
- clinical_knowledge (mmlu)	0	none	acc	0.7396	±	0.0270
- college_biology (mmlu)	0	none	acc	0.7778	±	0.0348
- college_medicine (mmlu)	0	none	acc	0.6647	±	0.0360
- medical_genetics (mmlu)	0	none	acc	0.7200	±	0.0451
- professional_medicine (mmlu)	0	none	acc	0.7868	±	0.0249
- pubmedqa	1	none	acc	0.7840	±	0.0184

vkocaman/JSL-MedMX-7X

JSL-MedMX-7X

💻 Usage

🏆 Evaluation

vkocaman/
JSL-MedMX-7X