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Model: laion/SweSmith-8B-SFT-NoRope-step58
Source: Original Platform

README.md

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+---
+license: apache-2.0
+base_model: laion/r2egym-nl2bash-stack-bugsseq-fixthink-again
+tags:
+  - reinforcement-learning
+  - code
+  - swesmith
+  - rl
+  - rloo
+datasets:
+  - DCAgent/swesmith-oracle-verified-120s-2500
+language:
+  - en
+pipeline_tag: text-generation
+library_name: 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](https://huggingface.co/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