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中文版

特性

  1. 为数据集新增基于 split 的过滤功能，支持用户按需加载指定的数据 split，并新增相应的参数校验逻辑。（#1704）
  2. 增强数据集下载日志，新增调试级别日志以记录请求详情与响应指标；同时修复了数据集预览时的参数传递错误问题。（#/1700）
  3. 将 Ascend NPU 的 Dockerfile 更新为基于 CANN 基础镜像构建，不再依赖 vllm-ascend 镜像，便于后续独立管理 CANN 版本与 vllm-ascend 版本。（#1687）
  4. 新增适用于 ms-swift 4.1.x 的 Metax Dockerfile。（#1689）

修复

  1. 修复了补丁对 kernels <= 0.12 版本的兼容性问题。（#1708）
  2. 为 pipeline 和 build_trainer 函数引入 trust_remote_code 参数，要求用户显式授权后方可执行远程代码或插件，提升使用安全性。（#1703）

English Version

Features

  1. Added split-based filtering for datasets, enabling users to load specific data splits on demand, along with corresponding parameter validation logic. (#1704)
  2. Enhanced dataset download logging by adding debug-level logs to capture request details and response metrics; also fixed an incorrect parameter passing issue during dataset preview. (#1700)
  3. Updated the Ascend NPU Dockerfile to build from the CANN base image instead of the vllm-ascend image, allowing independent version management of CANN and vllm-ascend going forward. (#1687)
  4. Added a MetaX Dockerfile compatible with ms-swift 4.1.x. (#1689)

Bug Fixes

  1. Fixed a compatibility issue with patches for kernels <= 0.12. (#1708)
  2. Introduced the trust_remote_code parameter for the pipeline and build_trainer functions, requiring users to explicitly grant authorization before executing remote code or plugins, thereby improving usage security. (#1703)

What's Changed

New Contributors

Full Changelog: https://github.com/modelscope/modelscope/compare/v1.36.3...v1.37.0

Source: README.md, updated 2026-05-15