license, base_model, tags, datasets, language, pipeline_tag, library_name
| license | base_model | tags | datasets | language | pipeline_tag | library_name | |||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| apache-2.0 | laion/r2egym-nl2bash-stack-bugsseq-fixthink-again |
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|
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text-generation | transformers |
SweSmith-8B-SFT-NoRope-step58
RL-trained Qwen3-8B on SWEsmith tasks (32k context, no rope scaling, 58 steps). Beats the SFT base model on dev_set_71 (pass@1 0.227 vs 0.213) and SWE-bench 100 (0.220 vs 0.210).
Training Details
- Base model: laion/r2egym-nl2bash-stack-bugsseq-fixthink-again (Qwen3-8B SFT)
- Training method: RLOO-N (Reinforcement Learning with Leave-One-Out baselines)
- Training data: 2,500 SWEsmith tasks (oracle-verified, 120s timeout)
- Framework: BenSkyRL + Harbor