{"release":{"tag":{"name":"25.12","path":"/deep-spark/deepspark/tags/25.12","tree_path":"/deep-spark/deepspark/tree/25.12","message":"DeepSpark 25.12 Release","commit":{"id":"107251cc1e4acda2dab03214e4d7fe974cd8bcf2","short_id":"107251c","title":"remove unused images","title_markdown":"remove unused images","description":"","description_markdown":"","message":"remove unused images\n","message_markdown":"remove unused images","detail_path":"/deep-spark/deepspark/commit/107251cc1e4acda2dab03214e4d7fe974cd8bcf2","commits_path":"/deep-spark/deepspark/commits/107251cc1e4acda2dab03214e4d7fe974cd8bcf2","tree_path":"/deep-spark/deepspark/tree/107251cc1e4acda2dab03214e4d7fe974cd8bcf2","author":{"name":"majorli6","email":"mingjiang.li@iluvatar.com","username":"majorli6","user_path":"/majorli6","enterprise_user_path":null,"image_path":"https://foruda.gitee.com/avatar/1667877610594505300/11700637_majorli6_1667877610.png!avatar30","is_gitee_user":true,"is_enterprise_user":null,"widget_url":""},"committer":{"name":"majorli6","email":"mingjiang.li@iluvatar.com","username":"majorli6","user_path":"/majorli6","enterprise_user_path":null,"image_path":"https://foruda.gitee.com/avatar/1667877610594505300/11700637_majorli6_1667877610.png!avatar30","is_gitee_user":true,"is_enterprise_user":null,"widget_url":""},"authored_date":"2025-12-23T14:43:57+08:00","committed_date":"2025-12-23T14:43:57+08:00","signature":null,"build_state":null},"archive_path":"/deep-spark/deepspark/repository/archive/25.12","signature":null},"operating":{"edit":false,"download":true,"destroy":false,"enterprise_forbid_zip":false},"release":{"title":"DeepSpark 25.12 Release","path":"/deep-spark/deepspark/releases/tag/25.12","tag_path":"/deep-spark/deepspark/tree/25.12","project_id":25389964,"created_at":"2025-12-25T10:46:12+08:00","is_prerelease":false,"description":"### DeepSpark 25.12\r\n\r\n#### 特性和增强\r\n\r\n* DeepSpark 新增了在天数智芯加速卡环境上[快速开始](docs/quickstart.md)的指导文档。\r\n* DeepSparkHub 新增了8个使用LLaMA-Factory工具箱的大模型训练微调示例。详见[25.12](https://gitee.com/deep-spark/deepsparkhub/releases/tag/25.12)版本日志。\r\n* DeepSparkInference 新增了15个推理小模型示例，涵盖视觉分类，对象检测和多目标跟踪等领域，同时新增了8个大语言模型的推理示例，涉及vLLM和Diffusers框架。详见[25.12](https://gitee.com/deep-spark/deepsparkinference/releases/tag/25.12)版本日志。\r\n\r\n\u003Ctable\u003E\r\n    \u003C/tr\u003E\r\n        \u003Ctr align=\"left\"\u003E\u003Cth colspan=5\u003ELLM (LLaMA-Factory)\u003C/th\u003E\u003C/tr\u003E\r\n    \u003Ctr\u003E\r\n        \u003Ctd\u003ELlama3-8B-DPO\u003C/td\u003E\r\n        \u003Ctd\u003ELlama3-8B-Full-SFT\u003C/td\u003E\r\n        \u003Ctd\u003ELlama3-8B-KTO\u003C/td\u003E\r\n    \u003C/tr\u003E\r\n    \u003Ctr\u003E\r\n        \u003Ctd\u003ELlaMA3-8B-LoRA-Pretrain\u003C/td\u003E\r\n        \u003Ctd\u003ELlama3-8B-LoRA-Reward\u003C/td\u003E\r\n        \u003Ctd\u003ELlama3-8B-LoRA-SFT\u003C/td\u003E\r\n    \u003C/tr\u003E\r\n    \u003Ctr\u003E\r\n        \u003Ctd\u003EQwen2.5-VL-LoRA-DPO\u003C/td\u003E\r\n        \u003Ctd\u003EQwen2.5-VL-LoRA-SFT\u003C/td\u003E\r\n        \u003Ctd\u003E\u003C/td\u003E\r\n    \u003C/tr\u003E\r\n  \u003Cth colspan=3\u003EixRT (Inference)\u003C/th\u003E\r\n  \u003Ctr\u003E\r\n      \u003Ctd\u003EDeepSort\u003C/td\u003E\r\n      \u003Ctd\u003EFastReID\u003C/td\u003E\r\n      \u003Ctd\u003ETransformer\u003C/td\u003E\r\n  \u003C/tr\u003E\r\n  \u003Ctr\u003E\r\n      \u003Ctd\u003EYOLOF \u003C/td\u003E\r\n      \u003Ctd\u003EYOLOv12\u003C/td\u003E\r\n      \u003Ctd\u003EYOLOv13\u003C/td\u003E\r\n  \u003C/tr\u003E\r\n  \u003Cth colspan=3\u003EIGIE (Inference)\u003C/th\u003E\r\n  \u003Ctr\u003E\r\n      \u003Ctd\u003EEfficientNet-B7\u003C/td\u003E\r\n      \u003Ctd\u003EFreeAnchor\u003C/td\u003E\r\n      \u003Ctd\u003ERegNet_X_800MF \u003C/td\u003E\r\n  \u003C/tr\u003E\r\n  \u003Ctr\u003E\r\n      \u003Ctd\u003ERegNet_X_8GF\u003C/td\u003E\r\n      \u003Ctd\u003EPISA\u003C/td\u003E\r\n      \u003Ctd\u003EYOLOv8-N \u003C/td\u003E\r\n  \u003C/tr\u003E\r\n  \u003Ctr\u003E\r\n    \u003Ctd\u003EYOLOv9\u003C/td\u003E\r\n    \u003Ctd\u003EYOLOv10\u003C/td\u003E\r\n    \u003Ctd\u003EYOLOv11\u003C/td\u003E\r\n  \u003C/tr\u003E\r\n  \u003Cth colspan=3\u003ELLM (Inference)\u003C/th\u003E\r\n  \u003Ctr\u003E\r\n      \u003Ctd\u003ENVLM-D (vLLM)\u003C/td\u003E\r\n      \u003Ctd\u003EPaliGemma (vLLM)\u003C/td\u003E\r\n      \u003Ctd\u003EPhi-3 Vision (vLLM)\u003C/td\u003E\r\n  \u003C/tr\u003E\r\n  \u003Ctr\u003E\r\n      \u003Ctd\u003EPixtral (vLLM)\u003C/td\u003E\r\n      \u003Ctd\u003EQwen3Moe (vLLM)\u003C/td\u003E\r\n      \u003Ctd\u003EStable Diffusion 3 (Diffusers)\u003C/td\u003E\r\n  \u003C/tr\u003E\r\n  \u003Ctr\u003E\r\n      \u003Ctd\u003EStep3-VL (vLLM)\u003C/td\u003E\r\n      \u003Ctd\u003EXLM-RoBERTa (vLLM)\u003C/td\u003E\r\n      \u003Ctd\u003E\u003C/td\u003E\r\n\u003C/table\u003E\r\n\r\n#### 贡献者\r\n\r\n感谢以下人员做出的贡献：\r\n\r\nsanghui_ilu，李一力，fanglaipeng，YoungPeng，anders，fhfang，郭寒冰，qiang.zhang，majorli6，honglyua。\r\n\r\n欢迎以任何形式向DeepSpark社区贡献。","author":{"name":"majorli6","username":"majorli6","path":"/majorli6","avatar_url":"https://foruda.gitee.com/avatar/1667877610594505300/11700637_majorli6_1667877610.png!avatar30"},"attach_files":[],"zip_download_url":"/deep-spark/deepspark/releases/tag/25.12.zip","tar_download_url":"/deep-spark/deepspark/releases/tag/25.12.tar.gz"}}}