{"id":46283090,"url":"https://github.com/study8677/post-training","last_synced_at":"2026-03-04T06:18:37.138Z","repository":{"id":312200707,"uuid":"1046638472","full_name":"study8677/post-training","owner":"study8677","description":"本仓库聚焦于大模型后训练（Post-Training），内容包括但不限于：  核心方法：SFT、RLHF、RL、DPO、RAG  其他方向：模型蒸馏、对齐方法、红队测试、安全性调优等  目标：记录和沉淀相关知识、方法与实践经验，旨在从原型 Demo 推动到实际落地应用。","archived":false,"fork":false,"pushed_at":"2025-09-09T13:45:41.000Z","size":172,"stargazers_count":0,"open_issues_count":0,"forks_count":0,"subscribers_count":0,"default_branch":"main","last_synced_at":"2025-09-09T16:40:38.250Z","etag":null,"topics":[],"latest_commit_sha":null,"homepage":null,"language":"Jupyter Notebook","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"mit","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/study8677.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":"CONTRIBUTING.md","funding":null,"license":"LICENSE","code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null,"governance":null,"roadmap":"docs/roadmap.md","authors":null,"dei":null,"publiccode":null,"codemeta":null,"zenodo":null}},"created_at":"2025-08-29T01:53:00.000Z","updated_at":"2025-09-09T13:45:46.000Z","dependencies_parsed_at":"2025-08-29T07:44:13.228Z","dependency_job_id":null,"html_url":"https://github.com/study8677/post-training","commit_stats":null,"previous_names":["study8677/post-training"],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/study8677/post-training","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/study8677%2Fpost-training","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/study8677%2Fpost-training/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/study8677%2Fpost-training/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/study8677%2Fpost-training/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/study8677","download_url":"https://codeload.github.com/study8677/post-training/tar.gz/refs/heads/main","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/study8677%2Fpost-training/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":286080680,"owners_count":30074023,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2026-03-04T05:31:57.858Z","status":"ssl_error","status_checked_at":"2026-03-04T05:31:38.462Z","response_time":59,"last_error":"SSL_connect returned=1 errno=0 peeraddr=140.82.121.5:443 state=error: unexpected eof while reading","robots_txt_status":"success","robots_txt_updated_at":"2025-07-24T06:49:26.215Z","robots_txt_url":"https://github.com/robots.txt","online":false,"can_crawl_api":true,"host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":[],"created_at":"2026-03-04T06:18:35.472Z","updated_at":"2026-03-04T06:18:37.126Z","avatar_url":"https://github.com/study8677.png","language":"Jupyter Notebook","funding_links":[],"categories":[],"sub_categories":[],"readme":"# post-training\n\n本仓库聚焦于大模型后训练（Post-Training），涵盖 SFT、RLHF、DPO、RAG 等方法以及模型蒸馏、对齐与安全等方向。目标是记录与沉淀相关知识、方法与实践经验。\n\n## Quick Start\n\n```bash\nmake init\nmake test\n```\n\n## Directory\n\n- `configs/` 项目统一配置\n- `scripts/` 一键运行脚本\n- `src/post_training/` 可复用的库代码\n- `examples/` 最小可运行示例\n- `tests/` 单元与冒烟测试\n\n更多内容见各子目录文档。\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fstudy8677%2Fpost-training","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fstudy8677%2Fpost-training","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fstudy8677%2Fpost-training/lists"}