{"data":{"slug":"llamachinese-llama-chinese","name":"Llama-Chinese","tagline":"Llama中文社区，实时汇总最新Llama学习资料，构建最好的中文Llama大模型开源生态","github_url":"https://github.com/LlamaChinese/Llama-Chinese","owner":"LlamaChinese","repo":"Llama-Chinese","owner_avatar_url":"https://avatars.githubusercontent.com/u/271679632?v=4","primary_language":"Python","stars":14743,"forks":1293,"topics":["agent","llama","llama4","llm","pretraining","rl"],"archived":false,"github_pushed_at":"2025-04-06T09:16:55+00:00","maintenance_label":"Dormant","stars_delta_30d":-2,"url":"https://www.graphcanon.com/tools/llamachinese-llama-chinese","markdown_url":"https://www.graphcanon.com/tools/llamachinese-llama-chinese.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/llamachinese-llama-chinese","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=llamachinese-llama-chinese","description":"Llama中文社区，实时汇总最新Llama学习资料，构建最好的中文Llama大模型开源生态，完全开源可商用","homepage_url":"https://llama.family","license":null,"open_issues":195,"watchers":142,"ai_summary":"该仓库提供了一个针对中文优化的Llama大模型的开发和部署环境。它包括了使用Docker快速启动的指南。","readme_excerpt":"### 快速上手-使用Docker\n\n详情参见：[Docker部署](https://github.com/LlamaFamily/Llama-Chinese/blob/main/docs/chat_gradio_guide.md)\n\n第 1 步：准备docker镜像，通过docker容器启动[chat_gradio.py](../examples/chat_gradio.py)\n```bash\ngit clone https://github.com/LlamaFamily/Llama-Chinese.git\n\ncd Llama-Chinese\n\ndocker build -f docker/Dockerfile -t flagalpha/llama2-chinese:gradio .\n```\n\n第 2 步：通过docker-compose启动chat_gradio\n```bash\ncd Llama-Chinese/docker\ndocker-compose up -d --build\n```","github_created_at":"2023-07-19T04:45:23+00:00","created_at":"2026-07-07T17:39:02.841094+00:00","updated_at":"2026-08-19T06:01:21.70646+00:00","categories":[{"slug":"ai-agents","name":"AI Agents","url":"https://www.graphcanon.com/categories/ai-agents","markdown_url":"https://www.graphcanon.com/categories/ai-agents.md","api_url":"https://www.graphcanon.com/api/graphcanon/categories/ai-agents"},{"slug":"llm-frameworks","name":"LLM Frameworks","url":"https://www.graphcanon.com/categories/llm-frameworks","markdown_url":"https://www.graphcanon.com/categories/llm-frameworks.md","api_url":"https://www.graphcanon.com/api/graphcanon/categories/llm-frameworks"}],"tags":[{"slug":"agent","name":"agent"},{"slug":"llama","name":"llama"},{"slug":"llm","name":"llm"},{"slug":"pretraining","name":"pretraining"},{"slug":"rl","name":"rl"}],"trust":{"provenance":{"is_fork":false,"github_id":668122773,"owner_type":"Organization","methodology":"github_public_v1","parent_repo":null,"near_duplicate_slugs":[]},"computed_at":"2026-08-19T06:01:20.960Z","maintenance":{"label":"Dormant","score":18,"methodology":"github_public_v1","releases_90d":0,"days_since_push":499,"last_release_at":null,"stars_delta_30d":-2,"open_issues_delta_30d":0},"security_summary":{"status":"findings","scanner":"osv@v1","low_count":69,"high_count":0,"last_scan_at":"2026-07-11T11:13:45.598Z","medium_count":0,"scan_profile":"deps","critical_count":0}},"capability_facts":{"scan":{"source":"repo_scan","observed_at":"2026-08-19T06:01:21.392Z"},"languages":{"value":["python"],"source":"github.language","observed_at":"2026-08-19T06:01:21.392Z"}},"decision_facts":{"hosting":null,"pricing":null,"requirements":null,"constraints":null,"when_to_use":[],"when_not_to_use":[],"source":"enrich:decision_facts","observed_at":"2026-07-11T15:05:55.384Z"},"constraint_facets":null,"decision_summary":[{"label":"Adopt for","value":"Llama-Chinese is designed to offer a development and deployment environment for Chinese-optimized Llama large language models, using Docker for quick setup."}]}}