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jshhhh
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PathReasoner-R1

Image-Text-to-Text
Transformers
Safetensors
English
medical
pathology
vision-language
reasoning
multimodal
vlm
Model card Files
xet
 Community
How to use from
vLLM
Install from pip and serve model 
# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "jshhhh/PathReasoner-R1"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "jshhhh/PathReasoner-R1",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'
Use Docker 
docker model run hf.co/jshhhh/PathReasoner-R1
Quick Links

PathReasoner-R1

Model weights for the paper PathReasoner-R1: Empowering Pathology Vision Language Models with Structured Diagnostic Reasoning.

Overview

PathReasoner-R1 is a pathology vision-language model trained to perform structured diagnostic reasoning over histopathology images. The model produces step-by-step reasoning grounded in a medical knowledge graph enabling clinically valid interpretations.

Model Details

  • Base model: Qwen2.5-VL-7B
  • Training data: PathReasoner Dataset
  • Task: Pathology image understanding with structured reasoning
  • Languages: English

License

This model is released under CC BY-NC 4.0 — free for academic and research use, not for commercial use or clinical deployment.

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Model size
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