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wza/
CURV

safetensors

qwen2_5_vl

apache-2.0

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[NeurIPS 2025] CURV: Coherent Uncertainty-Aware Reasoning in Vision-Language Models for X-Ray Report Generation

A fine-tuned model for chest X-ray report generation.

Github: https://github.com/wwwadx/CURV

Model Details

This model was fine-tuned using GRPO for chest X-ray report generation.

Training Details

Base Model: Qwen2-VL
Training Method: GRPO
Training Framework: ms-swift

Usage

python

from modelscope import AutoModelForCausalLM, AutoTokenizer

model = AutoModelForCausalLM.from_pretrained('wzaAAAAA/CURV')
tokenizer = AutoTokenizer.from_pretrained('wzaAAAAA/CURV')

Files

config.json: Model configuration
model-*.safetensors: Model weights
tokenizer_config.json: Tokenizer configuration
generation_config.json: Generation configuration

License

This model is released under the Apache 2.0 license.

wza/CURV