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Model: laion/SweSmith-8B-SFT-Rope-step62 Source: Original Platform
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README.md
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license: apache-2.0
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base_model: laion/r2egym-nl2bash-stack-bugsseq-fixthink-again
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tags:
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- reinforcement-learning
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- code
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- swesmith
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- rl
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- rloo
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datasets:
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- DCAgent/swesmith-oracle-verified-120s-2500
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language:
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- en
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pipeline_tag: text-generation
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library_name: transformers
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---
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# SweSmith-8B-SFT-Rope-step62
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RL-trained Qwen3-8B on SWEsmith tasks (65k context with YaRN rope scaling factor=4.0, 62 steps). Best evaluated at 65k context.
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## Training Details
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- **Base model**: [laion/r2egym-nl2bash-stack-bugsseq-fixthink-again](https://huggingface.co/laion/r2egym-nl2bash-stack-bugsseq-fixthink-again) (Qwen3-8B SFT)
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- **Training method**: RLOO-N
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- **Training data**: 2,500 SWEsmith tasks (oracle-verified, 120s timeout)
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- **Framework**: BenSkyRL + Harbor
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- **Sandbox**: Apptainer containers with proxychains for internet access
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