ZJUI-AI4H/Hulu-Med

Health v2 · maintenance only

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1006 stars · 37 forks observed · 2026-10-05

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

Hulu-Med is a family of open-source transparent generalist medical vision-language models ranging from 4B to 235B parameters, covering text, 2D, 3D, and video medical modalities. It includes model weights on HuggingFace, inference support via vLLM, a Gradio demo, and the MedUniEval evaluation toolkit.

Use cases

• run a medical vision-language model for radiology report understanding
• analyze medical images like CT scans with an AI model
• build a medical chatbot that understands clinical images and text
• evaluate medical multimodal models on benchmarks
• deploy a medical LLM locally with vLLM
• fine-tune or study open medical AI models
• answer health questions with an open-source medical model

When to choose

• you need an open, transparent medical multimodal model with permissive Apache-2.0 licensing
• you want to handle diverse medical modalities including 2D, 3D, and video
• you need a range of model sizes from lightweight 4B to large MoE variants
• you want fast inference with vLLM and tensor parallelism support

When to avoid

• you need a clinically certified or regulated medical device solution
• you lack GPU hardware for running large vision-language models
• you need a general-purpose (non-medical) assistant rather than a domain-specific model

Facets

library · maturity active

machine-learning deep-learning llm-inference nlp image-processing rag artificial-intelligence large-language-models healthcare computer-vision python medical-ai vision-language-model multimodal medical-imaging open-source-model vllm healthbench natural-language-processing gpu linux

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markdown · JSON · MCP: product_card(name="ZJUI-AI4H/Hulu-Med")