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CURV
wza/CURV
CURV is a machine learning model from wza. Use it for the machine learning task on the model card, and read the license before you ship it in a product. The card lists the license as apache-2.0.
A fine-tuned model for chest X-ray report generation.
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7.5 GB on disk
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.safetensors7.5 GB · 100%
At a glance
- License
- apache-2.0
- Model type
- qwen2_5_vl
- Access
- Public
- Created
- Oct 16, 2025
- Updated
- Oct 16, 2025
- SHA
- d62096d6
Model card
From the Hugging Face model README
[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
from modelscope import AutoModelForCausalLM, AutoTokenizer
model = AutoModelForCausalLM.from_pretrained('wzaAAAAA/CURV')
tokenizer = AutoTokenizer.from_pretrained('wzaAAAAA/CURV')
Files
config.json: Model configurationmodel-*.safetensors: Model weightstokenizer_config.json: Tokenizer configurationgeneration_config.json: Generation configuration
License
This model is released under the Apache 2.0 license.
- Type
- qwen2_5_vl
- License
- apache-2.0
- Created
- Oct 16, 2025
- Updated
- Oct 16, 2025