microsoft/LLaVA-Med
Large Language-and-Vision Assistant for Biomedicine, built towards multimodal GPT-4 level capabilities. observed · 2026-08-28
Health v2 · maintenance only
40/100
- Activity 25
- Release rhythm 35
- Longevity 85
Flags: no_releases no_license
How is this computed?
round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-03. Adoption (stars, forks) is never an input.
- gap_med: n/a
- age_days: 1201
- days_rel: n/a
- days_push: 455
- n_releases_24m: 0
Adoption not part of the score
2231 stars · 294 forks observed · 2026-08-28
What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded
LLaVA-Med is a large language-and-vision assistant fine-tuned for the biomedicine domain, built on the LLaVA multimodal architecture. It supports biomedical visual conversation and question answering over medical images, with checkpoints like llava-med-v1.5-mistral-7b available on Hugging Face.
Use cases
- answer questions about medical images
- build a biomedical visual chatbot
- run visual question answering on radiology scans
- fine-tune a multimodal LLM for healthcare research
- chat with an assistant about biomedical figures
- evaluate a vision-language model on medical benchmarks
When to choose
- you need a research-grade multimodal model specialized for biomedical images and text
- you want a ready-to-load medical VLM checkpoint without delta-weight patching
- you are doing biomedical visual question answering or conversation research
When to avoid
- you need a model licensed for clinical or commercial deployment (research-only license)
- you need general-domain (non-medical) vision-language capabilities
- you require a permissively licensed model for production use
Facets
library · maturity active
machine-learning deep-learning llm-inference llm-training nlp image-processing artificial-intelligence large-language-models healthcare computer-vision python multimodal vision-language-model biomedical medical-imaging visual-question-answering instruction-tuning research-license natural-language-processing linux gpu
1 source
- readme: https://github.com/microsoft/LLaVA-Med · fetched 2026-08-28 · 6c02f15cd5ac
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| microsoft/LLaVA-Med | main | 40 |
For agents
markdown · JSON · MCP: product_card(name="microsoft/LLaVA-Med")
Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem