{"release":{"tag":{"name":"26.03","path":"/deep-spark/deepsparkinference/tags/26.03","tree_path":"/deep-spark/deepsparkinference/tree/26.03","message":"26.03 Release","commit":{"id":"e2e8f7187ed00916a82feb0c63c64a7d97e2be52","short_id":"e2e8f71","title":"update release notes","title_markdown":"update release notes","description":"","description_markdown":"","message":"update release notes\n","message_markdown":"update release notes","detail_path":"/deep-spark/deepsparkinference/commit/e2e8f7187ed00916a82feb0c63c64a7d97e2be52","commits_path":"/deep-spark/deepsparkinference/commits/e2e8f7187ed00916a82feb0c63c64a7d97e2be52","tree_path":"/deep-spark/deepsparkinference/tree/e2e8f7187ed00916a82feb0c63c64a7d97e2be52","author":{"name":"honglyua","email":"hongliang.yuan@iluvatar.com","username":"honglyua","user_path":"/honglyua","enterprise_user_path":null,"image_path":"no_portrait.png#honglyua-honglyua","is_gitee_user":true,"is_enterprise_user":null,"widget_url":""},"committer":{"name":"honglyua","email":"hongliang.yuan@iluvatar.com","username":"honglyua","user_path":"/honglyua","enterprise_user_path":null,"image_path":"no_portrait.png#honglyua-honglyua","is_gitee_user":true,"is_enterprise_user":null,"widget_url":""},"authored_date":"2026-03-23T11:00:27+08:00","committed_date":"2026-03-23T13:38:29+08:00","signature":null,"build_state":null},"archive_path":"/deep-spark/deepsparkinference/repository/archive/26.03","signature":null},"operating":{"edit":false,"download":true,"destroy":false,"enterprise_forbid_zip":false},"release":{"title":"DeepSparkInference 26.03 Release","path":"/deep-spark/deepsparkinference/releases/tag/26.03","tag_path":"/deep-spark/deepsparkinference/tree/26.03","project_id":33771133,"created_at":"2026-03-24T14:35:25+08:00","is_prerelease":false,"description":"### DeepSparkInference 26.03\r\n\r\n#### 模型与算法\r\n\r\n* 新增了 16 个推理小模型示例，其中支持 IGIE 推理引擎的 10 个，支持 ixRT 推理引擎的 6 个。\r\n* 新增了 18 个大语言模型推理示例，其中 10 个使用 [vLLM](https://github.com/vllm-project/vllm)，6 个使用 [xDiT](https://github.com/xdit-project/xDiT)，2 个使用 ixRT。\r\n\r\n\u003Ctable\u003E\r\n  \u003Cth colspan=3\u003EIGIE\u003C/th\u003E\r\n  \u003Ctr\u003E\r\n      \u003Ctd\u003EMobileViT-S\u003C/td\u003E\r\n      \u003Ctd\u003EViT-B-32\u003C/td\u003E\r\n      \u003Ctd\u003EViT-L-14\u003C/td\u003E\r\n  \u003C/tr\u003E\r\n  \u003Ctr\u003E\r\n      \u003Ctd\u003EDETR\u003C/td\u003E\r\n      \u003Ctd\u003ERT-DETR\u003C/td\u003E\r\n      \u003Ctd\u003EYOLOv11m\u003C/td\u003E\r\n  \u003C/tr\u003E\r\n  \u003Ctr\u003E\r\n      \u003Ctd\u003EYOLOv11s\u003C/td\u003E\r\n      \u003Ctd\u003EYOLOv26n\u003C/td\u003E\r\n      \u003Ctd\u003EYOLOv5s\u003C/td\u003E\r\n  \u003C/tr\u003E\r\n  \u003Ctr\u003E\r\n      \u003Ctd\u003EDenseNet121(int8)\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\u003EixRT\u003C/th\u003E\r\n  \u003Ctr\u003E\r\n      \u003Ctd\u003ESwin Transformer\u003C/td\u003E\r\n      \u003Ctd\u003ERepNet\u003C/td\u003E\r\n      \u003Ctd\u003EGrounding DINO\u003C/td\u003E\r\n  \u003C/tr\u003E\r\n  \u003Ctr\u003E\r\n      \u003Ctd\u003ERT-DETR\u003C/td\u003E\r\n      \u003Ctd\u003ECRNN\u003C/td\u003E\r\n      \u003Ctd\u003EUNet\u003C/td\u003E\r\n  \u003C/tr\u003E\r\n  \u003Cth colspan=3\u003ELLM\u003C/th\u003E\r\n  \u003Ctr\u003E\r\n      \u003Ctd\u003EDeepSeek-V3.1 (vLLM)\u003C/td\u003E\r\n      \u003Ctd\u003EDeepSeek-VL2 (vLLM)\u003C/td\u003E\r\n      \u003Ctd\u003EDeepSeek-OCR (vLLM)\u003C/td\u003E\r\n  \u003C/tr\u003E\r\n  \u003Ctr\u003E\r\n      \u003Ctd\u003EInternLM3 (vLLM)\u003C/td\u003E\r\n      \u003Ctd\u003EMiniCPM-V-4 (vLLM)\u003C/td\u003E\r\n      \u003Ctd\u003EQwen3-8B (vLLM)\u003C/td\u003E\r\n  \u003C/tr\u003E\r\n  \u003Ctr\u003E\r\n      \u003Ctd\u003EQwen3-32B (vLLM)\u003C/td\u003E\r\n      \u003Ctd\u003EQwen3-30B-A3B (vLLM)\u003C/td\u003E\r\n      \u003Ctd\u003EQwen3-235B-A22B (vLLM)\u003C/td\u003E\r\n  \u003C/tr\u003E\r\n  \u003Ctr\u003E\r\n      \u003Ctd\u003EQwen3-Next-80B (vLLM)\u003C/td\u003E\r\n      \u003Ctd\u003EFLUX.1-Dev(xDiT)\u003C/td\u003E\r\n      \u003Ctd\u003EHunyuanVideo(xDiT)\u003C/td\u003E\r\n  \u003C/tr\u003E\r\n  \u003Ctr\u003E\r\n      \u003Ctd\u003EWan2.1-T2V-14B(xDiT)\u003C/td\u003E\r\n      \u003Ctd\u003EWan2.2-TI2V-5B(xDiT)\u003C/td\u003E\r\n      \u003Ctd\u003EHunyuanDiT-v1.2(xDiT)\u003C/td\u003E\r\n  \u003C/tr\u003E\r\n    \u003Ctr\u003E\r\n      \u003Ctd\u003ESD3-Medium(xDiT)\u003C/td\u003E\r\n      \u003Ctd\u003ECosyVoice (ixRT)\u003C/td\u003E\r\n      \u003Ctd\u003EStable Diffusion 2.1 (ixRT)\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* 适配了 IXUCA SDK 4.4.0 版本的 CI 测试流程\r\n* 修复了 IGIE MViTv2-base 模型运行时缺少 pkg_resources 模块的问题\r\n* 修复了 vLLM 推理模型的 deprecated 参数错误并升级为离线推理模式\r\n* 修复了 DeepSeek-R1-Distill-Llama-8B 模型在 vLLM 0.11.2 版本上的兼容性问题\r\n* 修复了 Qwen-VL、Qwen2-VL、Qwen2.5-VL、Whisper 等模型的参数错误问题\r\n* 修复了 Pixtral 模型在 vLLM 0.11.2 版本上的兼容性问题\r\n* 修复了 ixRT RT-DETR 模型在 batchsize 为 64 时运行报错的问题\r\n* 修复了多个模型的 trust_remote_code 参数配置问题\r\n* 修复了 IGIE YOLOv8n 模型与 ultralytics 版本的兼容性问题\r\n* 修复了 YOLOx 模型的数据集路径问题\r\n* 修复了 IGIE ResNet 和 VGG16 模型在安装 TensorFlow 时的报错问题\r\n* 修复了 protobuf 版本导致的兼容性问题\r\n* 新增了 ARM 架构的核心绑定命令支持\r\n* 新增了 YOLOv8n ixRT 模型的 batchsize 参数支持\r\n\r\n#### 版本关联\r\n\r\nDeepSparkInference 26.03 对应天数软件栈 4.4.0 版本。\r\n\r\n#### 感谢以下社区贡献者\r\n\r\nYoungPeng，honglyua，majorli6，shengyan.zhao，yougouda，jinrui.zhang，tianyu，anders。","author":{"name":"honglyua","username":"honglyua","path":"/honglyua","avatar_url":"no_portrait.png#honglyua-honglyua"},"attach_files":[],"zip_download_url":"/deep-spark/deepsparkinference/releases/tag/26.03.zip","tar_download_url":"/deep-spark/deepsparkinference/releases/tag/26.03.tar.gz"}}}