amd/ReasonLite-Dataset
GitHub | Dataset | Blog ReasonLite is an ultra-lightweight math reasoning model. With only 0.6B parameters, it leverages high-quality data distillation to achieve performance comparable to models over 10× its size, such as Qwen3-8B, reaching 75.2 on AIME24 and extending the scaling law of small models. 🔥 Best-performing 0.6B math reasoning model 🔓 Fully open-source — weights, scripts, datasets, synthesis pipeline⚙️ Distilled in two stages to balance efficiency and high… See the full description on the dataset page: https://huggingface.co/datasets/amd/ReasonLite-Dataset.
| Author / organization | amd |
|---|---|
| License (as declared) | openrail |
| Downloads | 548 (as reported by Hugging Face) |
| Likes | 17 |
| Created | 2 December 2025 |
| Last updated at source | 22 January 2026 |
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