BioMistral-7B-ai4h is a 7-billion-parameter large language model specialized in biomedical and healthcare domains. Fine-tuned from BioMistral-7B, it is optimized for understanding, generating, and reasoning over clinical and biomedical texts.

Intended Use

Biomedical question answering
Clinical text summarization
Medical literature analysis
Conversational AI for healthcare
Knowledge retrieval in biomedical research

Note: This model is for research and development purposes only. It should not be used for direct clinical decision-making.

Model Details

Architecture: Transformer, decoder-only
Parameters: 7B
Fine-tuning: Instruction-tuned on biomedical datasets, including PubMed abstracts, clinical notes, and AI4H-specific corpora
License: [Specify License]

Usage Example

from transformers import AutoModelForCausalLM, AutoTokenizer

tokenizer = AutoTokenizer.from_pretrained("your-username/BioMistral-7B-ai4h")
model = AutoModelForCausalLM.from_pretrained("your-username/BioMistral-7B-ai4h")

input_text = "What are the common side effects of metformin?"
inputs = tokenizer(input_text, return_tensors="pt")
outputs = model.generate(**inputs, max_new_tokens=200)
print(tokenizer.decode(outputs[0], skip_special_tokens=True))

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