MMR1/MMR1-SFT
📘 MMR1-SFT: Long Chain-of-Thought Cold-Start Dataset MMR1-SFT is a large-scale, carefully curated vision–language long chain-of-thought (CoT) dataset for cold-start supervised fine-tuning of multimodal reasoning models.It accompanies our work on Variance-Aware Sampling (VAS) for RL post-training and the MMR1 model family. Scale: ~1.6M multimodal QA examples with verified long CoT rationales and short answers Quality control: CoTs generated by Gemini-2.5 Pro/Flash, verified… See the full description on the dataset page: https://huggingface.co/datasets/MMR1/MMR1-SFT.
| Author / organization | MMR1 |
|---|---|
| License (as declared) | other |
| Downloads | 3.1K (as reported by Hugging Face) |
| Likes | 3 |
| Created | 24 September 2025 |
| Last updated at source | 30 September 2025 |
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Connected in the knowledge graph
- mradermacher/MMR1-7B-SFT-GGUFModel · used to train
- mradermacher/MMR1-32B-SFT-GGUFModel · used to train
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- 16 Oct 2026 Description: 📘 MMR1-SFT: Long Chain-of-Thought Cold-Start Dataset MMR1-SFT is a large-scale, carefully curated vision–language long chain-of-thought (CoT) dataset for cold-start supervised fine-tuning of multimodal reasoning models.It accompanies our w → 📘 MMR1-SFT: Long Chain-of-Thought Cold-Start Dataset MMR1-SFT is a large-scale, carefully curated vision–language long chain-of-thought (CoT) dataset for cold-start supervised fine-tuning of multimodal reasoning models.It accompanies our w
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