LogicStar/SWE-Star
SWE-Star Introduction SWE-Star is a family of language models based on the Qwen2.5-Coder family and trained on the SWE-Star dataset. The dataset contains approximately 250k agentic coding trajectories distilled from Devstral-2-Small using SWE-Smith tasks. The complete data generation, training, and evaluation pipeline is openly available in our GitHub repository, enabling anyone to reproduce our results. Additional details are available in our blog posts.… See the full description on the dataset page: https://huggingface.co/datasets/LogicStar/SWE-Star.
| Author / organization | LogicStar |
|---|---|
| Downloads | 1.6K (as reported by Hugging Face) |
| Likes | 2 |
| Created | 17 January 2026 |
| Last updated at source | 26 January 2026 |
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Connected in the knowledge graph
- mradermacher/SWE-Star-7B-GGUFModel · used to train
- mradermacher/SWE-Star-32B-i1-GGUFModel · used to train
- mradermacher/SWE-Star-14B-i1-GGUFModel · used to train
- mradermacher/SWE-Star-7B-i1-GGUFModel · used to train
- mradermacher/SWE-Star-14B-GGUFModel · used to train
More from LogicStar
- LogicStar/SWE-SmithDataset
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