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LLaVA-Med

Biomedical vision-language assistant for radiology-style QA.

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About

LLaVA-Med is a biomedical vision-language model from Microsoft Research, released in 2023. It adapts the LLaVA recipe to medicine: a vision encoder aligned to a language model through curriculum learning on biomedical figure-caption pairs, then instruction-tuned on GPT-4-generated biomedical QA.

The model answers questions about biomedical images such as radiology scans and pathology figures, and it was presented as a step toward multimodal medical assistants that can read figures the way clinicians do.

LLaVA-Med is a research release with open weights. Like all medical AI, its outputs are not clinically validated and it should not be used for diagnosis without proper evaluation.

Specs

Context window

Pricing

Free quota

API access

Weights

Open weights

Released

June 1, 2023

Benchmarks

Provider-reported unless a source says otherwise. Benchmarks are marketing-adjacent by nature — treat them as directional.

Use cases

medical-imagingbiomedical-qaresearch

Trust score — 7/10

/10 trustMetrics-checked

Scored 7/10 (metrics tier, metrics-v1). Evidence: Verified via vendor site/docs/GitHub and reputable coverage, wave 100; Trending score 72/100 from researcher assessment.

Sources