{"release":{"tag":{"name":"25.09","path":"/deep-spark/deepsparkinference/tags/25.09","tree_path":"/deep-spark/deepsparkinference/tree/25.09","message":"25.09 Release","commit":{"id":"cbf13260a88ea5b214b2d07f73aca4933f29d3e5","short_id":"cbf1326","title":"!196 update 25.09 release notes","title_markdown":"\u003Ca title=\"Pull Request: update 25.09 release notes\" class=\"gfm gfm-pull_request\" href=\"/deep-spark/deepsparkinference/pulls/196\"\u003E!196\u003C/a\u003Eupdate 25.09 release notes","description":"Merge pull request !196 from majorli6/r2509","description_markdown":"Merge pull request \u003Ca title=\"Pull Request: update 25.09 release notes\" class=\"gfm gfm-pull_request\" href=\"/deep-spark/deepsparkinference/pulls/196\"\u003E!196\u003C/a\u003Efrom majorli6/r2509","message":"!196 update 25.09 release notes\nMerge pull request !196 from majorli6/r2509","message_markdown":"\u003Ca title=\"Pull Request: update 25.09 release notes\" class=\"gfm gfm-pull_request\" href=\"/deep-spark/deepsparkinference/pulls/196\"\u003E!196\u003C/a\u003Eupdate 25.09 release notes\nMerge pull request \u003Ca title=\"Pull Request: update 25.09 release notes\" class=\"gfm gfm-pull_request\" href=\"/deep-spark/deepsparkinference/pulls/196\"\u003E!196\u003C/a\u003Efrom majorli6/r2509","detail_path":"/deep-spark/deepsparkinference/commit/cbf13260a88ea5b214b2d07f73aca4933f29d3e5","commits_path":"/deep-spark/deepsparkinference/commits/cbf13260a88ea5b214b2d07f73aca4933f29d3e5","tree_path":"/deep-spark/deepsparkinference/tree/cbf13260a88ea5b214b2d07f73aca4933f29d3e5","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":"Gitee GPG Bot","email":"noreply@gitee.com","username":"gitee-bot","user_path":"/gitee-bot","enterprise_user_path":null,"image_path":"https://foruda.gitee.com/avatar/1677201213385506226/10186697_gitee-bot_1639518846.png!avatar30","is_gitee_user":true,"is_enterprise_user":null,"widget_url":""},"authored_date":"2025-09-18T02:57:09+00:00","committed_date":"2025-09-18T02:57:09+00:00","signature":null,"build_state":null},"archive_path":"/deep-spark/deepsparkinference/repository/archive/25.09","signature":null},"operating":{"edit":false,"download":true,"destroy":false,"enterprise_forbid_zip":false},"release":{"title":"DeepSparkInference 25.09 Release","path":"/deep-spark/deepsparkinference/releases/tag/25.09","tag_path":"/deep-spark/deepsparkinference/tree/25.09","project_id":33771133,"created_at":"2025-09-25T11:23:17+08:00","is_prerelease":false,"description":"## 25.09 Release Notes\r\n\r\n### 模型与算法\r\n\r\n* 新增了19个推理小模型示例，其中支持IGIE推理引擎的12个，支持ixRT推理引擎的7个。\r\n* 新增了11个大语言模型推理示例，涉及[FastDeploy](https://github.com/PaddlePaddle/FastDeploy)、[LMDeploy](https://github.com/InternLM/lmdeploy)和[vLLM](https://github.com/vllm-project/vllm)等框架。\r\n\r\n\u003Ctable\u003E\r\n  \u003Cth colspan=3\u003EixRT\u003C/th\u003E\r\n  \u003Ctr\u003E\r\n    \u003Ctd\u003EATSS\u003C/td\u003E\r\n    \u003Ctd\u003ECLIP\u003C/td\u003E\r\n    \u003Ctd\u003ECSPResNeXt50\u003C/td\u003E\r\n  \u003C/tr\u003E\r\n  \u003Ctr\u003E\r\n    \u003Ctd\u003EEfficientNet-B4\u003C/td\u003E\r\n    \u003Ctd\u003EEfficientNet-B5\u003C/td\u003E\r\n    \u003Ctd\u003EPAA\u003C/td\u003E\r\n  \u003C/tr\u003E\r\n  \u003Ctr\u003E\r\n    \u003Ctd\u003ERetinaNet\u003C/td\u003E\r\n    \u003Ctd\u003E\u003C/td\u003E\r\n    \u003Ctd\u003E\u003C/td\u003E\r\n  \u003C/tr\u003E\r\n  \u003Cth colspan=3\u003EIGIE\u003C/th\u003E\r\n  \u003Ctr\u003E\r\n    \u003Ctd\u003EEfficientNet-B6\u003C/td\u003E\r\n    \u003Ctd\u003EMNASNet1_3\u003C/td\u003E\r\n    \u003Ctd\u003ERegnet_x_32gf\u003C/td\u003E\r\n  \u003C/tr\u003E\r\n  \u003Ctr\u003E\r\n    \u003Ctd\u003ERegnet_x_400mf\u003C/td\u003E\r\n    \u003Ctd\u003ERegnet_y_3_2gf\u003C/td\u003E\r\n    \u003Ctd\u003ERegnet_y_32gf\u003C/td\u003E\r\n  \u003C/tr\u003E\r\n  \u003Ctr\u003E\r\n    \u003Ctd\u003ERegNet_y_400mf\u003C/td\u003E\r\n    \u003Ctd\u003ESSD\u003C/td\u003E\r\n    \u003Ctd\u003EVGG13\u003C/td\u003E\r\n  \u003C/tr\u003E\r\n  \u003Ctr\u003E\r\n    \u003Ctd\u003EVGG13_BN\u003C/td\u003E\r\n    \u003Ctd\u003EYOLOF\u003C/td\u003E\r\n    \u003Ctd\u003EYOLOv13\u003C/td\u003E\r\n  \u003C/tr\u003E\r\n  \u003Cth colspan=3\u003E大模型\u003C/th\u003E\r\n  \u003Ctr\u003E\r\n    \u003Ctd\u003ECosyVoice2-0.5B\u003C/td\u003E\r\n    \u003Ctd\u003EE5-V (vLLM)\u003C/td\u003E\r\n    \u003Ctd\u003EERNIE-4.5-21B-A3B (FastDeploy)\u003C/td\u003E\r\n  \u003C/tr\u003E\r\n  \u003Ctr\u003E\r\n    \u003Ctd\u003EERNIE-4.5-300B-A47B (FastDeploy)\u003C/td\u003E\r\n    \u003Ctd\u003EGLM-4V (vLLM)\u003C/td\u003E\r\n    \u003Ctd\u003EInternLM3 (LMDeploy)\u003C/td\u003E\r\n  \u003C/tr\u003E\r\n  \u003Ctr\u003E\r\n    \u003Ctd\u003EMiniCPM-o-2_6 (vLLM)\u003C/td\u003E\r\n    \u003Ctd\u003EQwen-VL (vLLM)\u003C/td\u003E\r\n    \u003Ctd\u003EQwen2-VL (vLLM)\u003C/td\u003E\r\n  \u003C/tr\u003E\r\n  \u003Ctr\u003E\r\n    \u003Ctd\u003EQwen2.5-VL (vLLM)\u003C/td\u003E\r\n    \u003Ctd\u003EWhisper (vLLM)\u003C/td\u003E\r\n    \u003Ctd\u003E\u003C/td\u003E\r\n  \u003C/tr\u003E\r\n\u003C/table\u003E\r\n\r\n### 修复更新\r\n\r\n* 修复了BERT Large SQuAD模型链接404问题 (#ICSF66)\r\n* 修复了4.3.0容器环境下部分模型的依赖缺失问题\r\n* 修复了MViTv2-base模型推理异常的问题\r\n* 更新了CLIP模型的最新代码\r\n* 更新了ByteMLPerf工具箱中optimizer的代码出处 (#ICKHTC)\r\n* 更新了4.3.0适用大/小模型推理的Docker使用说明 (#ICLDBK)\r\n\r\n### 版本关联\r\n\r\nDeepSparkInference 25.09对应天数软件栈4.3.0版本。\r\n\r\n### 感谢以下社区贡献者\r\n\r\nYoungPeng，fhfang，郭寒冰，qiang.zhang，majorli6，honglyua。","author":{"name":"honglyua","username":"honglyua","path":"/honglyua","avatar_url":"no_portrait.png#honglyua-honglyua"},"attach_files":[],"zip_download_url":"/deep-spark/deepsparkinference/releases/tag/25.09.zip","tar_download_url":"/deep-spark/deepsparkinference/releases/tag/25.09.tar.gz"}}}