GRPO CARE
This repository contains the GRPO-CARE model, presented in the paper GRPO-CARE: Consistency-Aware Reinforcement Learning for Multimodal Reasoning.
Modellquelle
- Art
- Modell
- Dateigröße
- 1,58–4,65 GB
- Version
- vRevision 02db101
- Aktualisiert
- 30. Okt. 2026
- Downloads
- 30
- Quelle
- Hugging Face
Quellenbeschreibung
This repository contains the GRPO-CARE model, presented in the paper GRPO-CARE: Consistency-Aware Reinforcement Learning for Multimodal Reasoning.
Code released at GRPO-CARE.
Citation
@misc{chen2025grpocareconsistencyawarereinforcementlearning,
title={GRPO-CARE: Consistency-Aware Reinforcement Learning for Multimodal Reasoning},
author={Yi Chen and Yuying Ge and Rui Wang and Yixiao Ge and Junhao Cheng and Ying Shan and Xihui Liu},
year={2025},
eprint={2506.16141},
archivePrefix={arXiv},
primaryClass={cs.CV},
url={https://arxiv.org/abs/2506.16141},
}
Quellen
1 Quelle
Quellen
1 QuelleVerifiziert 30. Okt.
Download files
Qwen2.5-VL-7B-GRPO-CARE-Margin0-SEED-Bench-R1/checkpoint-1500 · 4 weight files
All files listed in the provider index are present.
- Qwen2.5-VL-7B-GRPO-CARE-Margin0-SEED-Bench-R1/checkpoint-1500/model.safetensors.index.json · provider index
- Qwen2.5-VL-7B-GRPO-CARE-Margin0-SEED-Bench-R1/checkpoint-1500/config.json
- Qwen2.5-VL-7B-GRPO-CARE-Margin0-SEED-Bench-R1/checkpoint-1500/generation_config.json
- Qwen2.5-VL-7B-GRPO-CARE-Margin0-SEED-Bench-R1/checkpoint-1500/model-00004-of-00004.safetensors · individual shard
- Qwen2.5-VL-7B-GRPO-CARE-Margin0-SEED-Bench-R1/checkpoint-1500/model-00001-of-00004.safetensors · individual shard
- Qwen2.5-VL-7B-GRPO-CARE-Margin0-SEED-Bench-R1/checkpoint-1500/model-00002-of-00004.safetensors · individual shard
- Qwen2.5-VL-7B-GRPO-CARE-Margin0-SEED-Bench-R1/checkpoint-1500/model-00003-of-00004.safetensors · individual shard
Qwen2.5-VL-7B-GRPO-CARE-Margin0.01-SEED-Bench-R1/checkpoint-1500 · 4 weight files
All files listed in the provider index are present.
- Qwen2.5-VL-7B-GRPO-CARE-Margin0.01-SEED-Bench-R1/checkpoint-1500/model.safetensors.index.json · provider index
- Qwen2.5-VL-7B-GRPO-CARE-Margin0.01-SEED-Bench-R1/checkpoint-1500/config.json
- Qwen2.5-VL-7B-GRPO-CARE-Margin0.01-SEED-Bench-R1/checkpoint-1500/generation_config.json
- Qwen2.5-VL-7B-GRPO-CARE-Margin0.01-SEED-Bench-R1/checkpoint-1500/model-00004-of-00004.safetensors · individual shard
- Qwen2.5-VL-7B-GRPO-CARE-Margin0.01-SEED-Bench-R1/checkpoint-1500/model-00001-of-00004.safetensors · individual shard
- Qwen2.5-VL-7B-GRPO-CARE-Margin0.01-SEED-Bench-R1/checkpoint-1500/model-00002-of-00004.safetensors · individual shard
- Qwen2.5-VL-7B-GRPO-CARE-Margin0.01-SEED-Bench-R1/checkpoint-1500/model-00003-of-00004.safetensors · individual shard
Qwen2.5-VL-7B-GRPO-CARE-Margin0.01-Video-R1/checkpoint-1000 · 4 weight files
All files listed in the provider index are present.
- Qwen2.5-VL-7B-GRPO-CARE-Margin0.01-Video-R1/checkpoint-1000/model.safetensors.index.json · provider index
- Qwen2.5-VL-7B-GRPO-CARE-Margin0.01-Video-R1/checkpoint-1000/config.json
- Qwen2.5-VL-7B-GRPO-CARE-Margin0.01-Video-R1/checkpoint-1000/generation_config.json
- Qwen2.5-VL-7B-GRPO-CARE-Margin0.01-Video-R1/checkpoint-1000/model-00004-of-00004.safetensors · individual shard
- Qwen2.5-VL-7B-GRPO-CARE-Margin0.01-Video-R1/checkpoint-1000/model-00001-of-00004.safetensors · individual shard
- Qwen2.5-VL-7B-GRPO-CARE-Margin0.01-Video-R1/checkpoint-1000/model-00002-of-00004.safetensors · individual shard
- Qwen2.5-VL-7B-GRPO-CARE-Margin0.01-Video-R1/checkpoint-1000/model-00003-of-00004.safetensors · individual shard
Repository files
File inventory only; completeness is unverified.
- Qwen2.5-VL-7B-GRPO-CARE-Margin0-SEED-Bench-R1/checkpoint-1500/added_tokens.json
- Qwen2.5-VL-7B-GRPO-CARE-Margin0-SEED-Bench-R1/checkpoint-1500/chat_template.json
- Qwen2.5-VL-7B-GRPO-CARE-Margin0-SEED-Bench-R1/checkpoint-1500/merges.txt
- Qwen2.5-VL-7B-GRPO-CARE-Margin0-SEED-Bench-R1/checkpoint-1500/preprocessor_config.json
- Qwen2.5-VL-7B-GRPO-CARE-Margin0-SEED-Bench-R1/checkpoint-1500/special_tokens_map.json
- Qwen2.5-VL-7B-GRPO-CARE-Margin0-SEED-Bench-R1/checkpoint-1500/tokenizer.json
- Qwen2.5-VL-7B-GRPO-CARE-Margin0-SEED-Bench-R1/checkpoint-1500/tokenizer_config.json
- Qwen2.5-VL-7B-GRPO-CARE-Margin0-SEED-Bench-R1/checkpoint-1500/trainer_state.json
- Qwen2.5-VL-7B-GRPO-CARE-Margin0-SEED-Bench-R1/checkpoint-1500/training_args.bin
- Qwen2.5-VL-7B-GRPO-CARE-Margin0-SEED-Bench-R1/checkpoint-1500/vocab.json
- Qwen2.5-VL-7B-GRPO-CARE-Margin0.01-SEED-Bench-R1/checkpoint-1500/added_tokens.json
- Qwen2.5-VL-7B-GRPO-CARE-Margin0.01-SEED-Bench-R1/checkpoint-1500/chat_template.json
- Qwen2.5-VL-7B-GRPO-CARE-Margin0.01-SEED-Bench-R1/checkpoint-1500/merges.txt
- Qwen2.5-VL-7B-GRPO-CARE-Margin0.01-SEED-Bench-R1/checkpoint-1500/preprocessor_config.json
- Qwen2.5-VL-7B-GRPO-CARE-Margin0.01-SEED-Bench-R1/checkpoint-1500/special_tokens_map.json
- Qwen2.5-VL-7B-GRPO-CARE-Margin0.01-SEED-Bench-R1/checkpoint-1500/tokenizer.json
- Qwen2.5-VL-7B-GRPO-CARE-Margin0.01-SEED-Bench-R1/checkpoint-1500/tokenizer_config.json
- Qwen2.5-VL-7B-GRPO-CARE-Margin0.01-SEED-Bench-R1/checkpoint-1500/trainer_state.json
- Qwen2.5-VL-7B-GRPO-CARE-Margin0.01-SEED-Bench-R1/checkpoint-1500/training_args.bin
- Qwen2.5-VL-7B-GRPO-CARE-Margin0.01-SEED-Bench-R1/checkpoint-1500/vocab.json
- Qwen2.5-VL-7B-GRPO-CARE-Margin0.01-Video-R1/checkpoint-1000/added_tokens.json
- Qwen2.5-VL-7B-GRPO-CARE-Margin0.01-Video-R1/checkpoint-1000/chat_template.json
- Qwen2.5-VL-7B-GRPO-CARE-Margin0.01-Video-R1/checkpoint-1000/merges.txt
- Qwen2.5-VL-7B-GRPO-CARE-Margin0.01-Video-R1/checkpoint-1000/preprocessor_config.json
- Qwen2.5-VL-7B-GRPO-CARE-Margin0.01-Video-R1/checkpoint-1000/special_tokens_map.json
- Qwen2.5-VL-7B-GRPO-CARE-Margin0.01-Video-R1/checkpoint-1000/tokenizer.json
- Qwen2.5-VL-7B-GRPO-CARE-Margin0.01-Video-R1/checkpoint-1000/tokenizer_config.json
- Qwen2.5-VL-7B-GRPO-CARE-Margin0.01-Video-R1/checkpoint-1000/trainer_state.json
- Qwen2.5-VL-7B-GRPO-CARE-Margin0.01-Video-R1/checkpoint-1000/training_args.bin
- Qwen2.5-VL-7B-GRPO-CARE-Margin0.01-Video-R1/checkpoint-1000/vocab.json
- config.json
Modellartefakte
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Modellartefakte
12 ArtefakteQwen2.5-VL-7B-GRPO-CARE-Margin0-SEED-Bench-R1/checkpoint-1500/model-00001-of-00004.safetensors
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safetensors · 1,58 GB · SHA-256 f7eae40c4895…2712 · Hugging Face
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Quellenauszüge
3 Auszüge--- license: apache-2.0 library_name: transformers pipeline_tag: video-text-to-text --- This repository contains the GRPO-CARE model, presented in the paper [GRPO-CARE: Consistency-Aware Reinforcement Learning for Multimodal Reasoning](https://huggingface.co/papers/2506.16141). Code released at [GRPO-CARE](https://github.com/TencentARC/GRPO-CARE). ## Citation ```bibtex @misc{chen2025grpocareconsistencyawarereinforcementlearning, title={GRPO-CARE: Consistency-Aware Reinforcement Learning for Multimodal Reasoning}, author={Yi Chen and Yuying Ge and Rui Wang and Yixiao Ge and Junhao Cheng and Ying Shan and Xihui Liu}, year={2025}, eprint={2506.16141}, archivePrefix={arXiv}, primaryClass={cs.CV}, url={https://arxiv.org/abs/2506.16141}, } ```
Source context: 30 downloads · 2 likes · Pipeline video-text-to-text · Library transformers · Repo TencentARC/GRPO-CARE
Source context: 18 downloads · 2 likes · Pipeline video-text-to-text · Library transformers · Repo TencentARC/GRPO-CARE
