{"data":{"full_name":"PhoebusSi/Alpaca-CoT","name":"Alpaca-CoT","description":"We unified the interfaces of instruction-tuning data (e.g., CoT data), multiple LLMs and parameter-efficient methods (e.g., lora, p-tuning) together for easy use. We welcome open-source enthusiasts to initiate any meaningful PR on this repo and integrate as many LLM related technologies as possible. 我们打造了方便研究人员上手和使用大模型等微调平台，我们欢迎开源爱好者发起任何有意义的pr！","stars":2801.0,"forks":251.0,"language":"Jupyter Notebook","license":"Apache-2.0","archived":0.0,"subcategory":"multilingual-llm-adaptation","last_pushed_at":"2023-12-12T08:16:56+00:00","pypi_package":null,"npm_package":null,"downloads_monthly":0.0,"dependency_count":0.0,"commits_30d":null,"reverse_dep_count":0.0,"maintenance_score":0.0,"adoption_score":10.0,"maturity_score":16.0,"community_score":19.0,"quality_score":45.0,"quality_tier":"emerging","risk_flags":"['stale_6m', 'no_package', 'no_dependents']"},"meta":{"timestamp":"2026-04-05T19:14:09.180092+00:00"}}