GPU 性能与 AI Infra 学习项目:CUDA/Triton 算子、NCU/NSYS、vLLM/SGLang/TRT-LLM/ms-swift、PyTorch/DeepSpeed/ms-swift 训练、并行架构
ms-swift 开源项目推荐(9 个)
ms-swift 话题在 GitHub 上没有填写简介,这里按 Star 数汇总最相关的热门仓库。
热门项目 全部 9
GitHub 共 9 个仓库,已全部展示MCore-Bridge: Providing Megatron-Core model definitions for state-of-the-art large models and making Megatron training as simple as Transformers — with support for 300+ large language models (Qwen3-Next, GLM-5.3, Deepseek-V4, MiniMax-2.7, ...) and 200+ multimodal large models (Qwen3.8, Qwen3-Omni, Gemma4, ...).
EMIT: Enhancing MLLMs for Industrial Anomaly Detection via Difficulty-Aware GRPO
State-of-the-art OCR and fine-tuning for historical documents, made simple for researchers. Model-agnostic, open-weight models, local or rented GPUs, multi-user.
An end-to-end reproduction of Xiaomi MiMo-V2.6's open-source interactive Agent RL pipeline on MS-Swift — multi-turn tool use, sandboxed execution, real-execution verification, and GRPO. | 基于 MS-Swift 端到端复刻小米 MiMo-V2.6 开源的交互式 Agent RL 训练流程,覆盖多轮工具调用、隔离沙箱、真实执行验证与 GRPO 训练全链路。
基于ms-swift的Qwen3_8B 金融推理两阶段后训练(LoRA SFT->GRPO)。
Agentic RL, ready to run. Bring your agent, customize rewards, train with ms-swift and Megatron.
Audio-model training support in ms-swift (used for Oylan2)
ConCuR: Conciseness Makes State-of-the-Art Kernel Generation (Reproduced)
关于这个话题
- 清单取自 GitHub 话题页并按 Star 数排序,每次展示前 9 个项目;原始页面见 https://github.com/topics/ms-swift。
- 该话题在 GitHub 上共有 9 个仓库, 本站收录的是其中最热门的 9 个,不是全量列表。
- Star / Fork 每日自动刷新一次,实时数据以 GitHub 为准。
- 当前 9 个项目累计 266 Star,覆盖 1 种主要语言,数据更新于 2026-11-08。
- 中文介绍来自 GitHub 官方话题说明(github/explore)的机器翻译,可点「查看原文」对照;译文缺失时会先展示原文。