{"id":13393551,"url":"https://github.com/ZrrSkywalker/LLaMA-Adapter","last_synced_at":"2025-03-13T19:31:39.895Z","repository":{"id":217088005,"uuid":"653537620","full_name":"ZrrSkywalker/LLaMA-Adapter","owner":"ZrrSkywalker","description":"Fine-tuning LLaMA to follow Instructions within 1 Hour and 1.2M Parameters","archived":false,"fork":false,"pushed_at":"2023-06-14T08:45:33.000Z","size":3,"stargazers_count":86,"open_issues_count":1,"forks_count":6,"subscribers_count":4,"default_branch":"main","last_synced_at":"2025-02-25T06:45:58.516Z","etag":null,"topics":[],"latest_commit_sha":null,"homepage":null,"language":null,"has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":null,"status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/ZrrSkywalker.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":null,"code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null,"governance":null,"roadmap":null,"authors":null,"dei":null,"publiccode":null,"codemeta":null}},"created_at":"2023-06-14T08:42:30.000Z","updated_at":"2025-01-02T11:03:57.000Z","dependencies_parsed_at":null,"dependency_job_id":"dbac8abb-0128-41af-b215-2818e41bdfcb","html_url":"https://github.com/ZrrSkywalker/LLaMA-Adapter","commit_stats":null,"previous_names":["zrrskywalker/llama-adapter"],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/ZrrSkywalker%2FLLaMA-Adapter","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/ZrrSkywalker%2FLLaMA-Adapter/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/ZrrSkywalker%2FLLaMA-Adapter/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/ZrrSkywalker%2FLLaMA-Adapter/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/ZrrSkywalker","download_url":"https://codeload.github.com/ZrrSkywalker/LLaMA-Adapter/tar.gz/refs/heads/main","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":243469177,"owners_count":20295701,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2022-07-04T15:15:14.044Z","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":"2024-07-30T17:00:55.828Z","updated_at":"2025-03-13T19:31:39.883Z","avatar_url":"https://github.com/ZrrSkywalker.png","language":null,"funding_links":[],"categories":["Materials","A01_文本生成_文本对话","精选开源项目合集","Visual Chat Models","\u003cspan id=\"head1\"\u003e *Keywords* \u003c/span\u003e","Model Training \u0026 Fine-tuning","multi lang models"],"sub_categories":["GitHub repositories","大语言对话模型及数据","GPT开源平替机器人","Chinese Support","GPT开源平替机器人🔥🔥🔥","[Addictive PEFT](#content)","LangManus"],"readme":"# LLaMA-Adapter: Efficient Fine-tuning of LLaMA 🚀\nThe official codebase has been transferred to [OpenGVLab/LLaMA-Adapter](https://github.com/OpenGVLab/LLaMA-Adapter) for better follow-up maintenance!\n\n## Citation\nIf you find our LLaMA-Adapter code and paper useful, please kindly cite:\n```bash\n@article{zhang2023llamaadapter,\n  title = {LLaMA-Adapter: Efficient Fine-tuning of Language Models with Zero-init Attention},\n  author={Zhang, Renrui and Han, Jiaming and Zhou, Aojun and Hu, Xiangfei and Yan, Shilin and Lu, Pan and Li, Hongsheng and Gao, Peng and Qiao, Yu},\n  journal={arXiv preprint arXiv:2303.16199},\n  year={2023}\n}\n```\n```bash\n@article{gao2023llamaadapterv2,\n  title = {LLaMA-Adapter V2: Parameter-Efficient Visual Instruction Model},\n  author={Gao, Peng and Han, Jiaming and Zhang, Renrui and Lin, Ziyi and Geng, Shijie and Zhou, Aojun and Zhang, Wei and Lu, Pan and He, Conghui and Yue, Xiangyu and Li, Hongsheng and Qiao, Yu},\n  journal={arXiv preprint arXiv:2304.15010},\n  year={2023}\n}\n```\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2FZrrSkywalker%2FLLaMA-Adapter","html_url":"https://awesome.ecosyste.ms/projects/github.com%2FZrrSkywalker%2FLLaMA-Adapter","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2FZrrSkywalker%2FLLaMA-Adapter/lists"}