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SWE-Fixer: Training Open-Source LLMs for Effective and Efficient GitHub Issue Resolution
The main features of internlm/swe-fixer are: Reasoning Datasets.
Projects with overlapping indexed features include: agentica-project/rllm — 🚀 Reinforcement Learning for Language Agents🌟. alibaba-nlp/zerosearch — ZeroSearch: Incentivize the Search Capability of LLMs without Searching. camel-ai/loong — Community | Paper | Cookbook | Datasets | Loong Blog | Contributing | CAMEL-AI. efficientscaling/z1 — Z1: Efficient Test-time Scaling with Code Train Large Language Model to Reason with Shifted Thinking. gair-nlp/limo — 📄 Paper | 🌐 Dataset (v2) | 📘 Model (v2). a-m-team/a-m-models — Read this in English.
🚀 Reinforcement Learning for Language Agents🌟
ZeroSearch: Incentivize the Search Capability of LLMs without Searching
Community | Paper | Cookbook | Datasets | Loong Blog | Contributing | CAMEL-AI
