QiWang98/VideoRFT-Data
🎥 VideoRFT: Incentivizing Video Reasoning Capability in MLLMs via Reinforced Fine-Tuning Paper | Code | CoT Dataset (on Hugging Face) | RL Dataset (on Hugging Face) | Models (on Hugging Face) Abstract Reinforcement fine-tuning (RFT) has shown great promise in achieving humanlevel reasoning capabilities of Large Language Models (LLMs), and has recently been extended to MLLMs. Nevertheless, reasoning about videos, which is a fundamental aspect of human intelligence… See the full description on the dataset page: https://huggingface.co/datasets/QiWang98/VideoRFT-Data.
| Author / organization | QiWang98 |
|---|---|
| License (as declared) | apache-2.0 |
| Downloads | 2.7K (as reported by Hugging Face) |
| Likes | 1 |
| Created | 20 May 2025 |
| Last updated at source | 21 October 2025 |
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Connected in the knowledge graph
- mradermacher/VideoRFT-3B-GGUFModel · used to train
- mradermacher/VideoRFT-GGUFModel · used to train
- mradermacher/VideoRFT-SFT-3B-GGUFModel · used to train
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