OpenMed/Medical-Reasoning-SFT-MiniMax-M2.1
Medical-Reasoning-SFT-MiniMax-M2.1 A large-scale medical reasoning dataset generated using MiniMaxAI/MiniMax-M2.1, containing over 204,000 samples with detailed chain-of-thought reasoning for medical and healthcare questions. Dataset Overview Metric Value Model MiniMaxAI/MiniMax-M2.1 Total Samples 204,773 Samples with Reasoning 204,773 (100%) Estimated Tokens ~621 Million Content Tokens ~344 Million Reasoning Tokens ~277 Million Language… See the full description on the dataset page: https://huggingface.co/datasets/OpenMed/Medical-Reasoning-SFT-MiniMax-M2.1.
| Author / organization | OpenMed |
|---|---|
| License (as declared) | apache-2.0 |
| Downloads | 1K (as reported by Hugging Face) |
| Likes | 9 |
| Created | 1 February 2026 |
| Last updated at source | 1 February 2026 |
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Connected in the knowledge graph
- mradermacher/Think-Doctor.Death-3.2-1B-i1-GGUFModel · used to train
- mradermacher/Think-Doctor.Death-3.2-1B-GGUFModel · used to train
- mradermacher/Dr.Cameron-3.2-1B-i1-GGUFModel · used to train
Recent changes
- 16 Oct 2026 Description: Medical-Reasoning-SFT-MiniMax-M2.1 A large-scale medical reasoning dataset generated using MiniMaxAI/MiniMax-M2.1, containing over 204,000 samples with detailed chain-of-thought reasoning for medical and healthcare questions. Dataset Overvi → Medical-Reasoning-SFT-MiniMax-M2.1 A large-scale medical reasoning dataset generated using MiniMaxAI/MiniMax-M2.1, containing over 204,000 samples with detailed chain-of-thought reasoning for medical and healthcare questions. Dataset Overvi
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