ms-swift

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

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-5.2, Deepseek-V4, MiniMax-2.7, ...) and 200+ multimodal large models (Qwen3.5, Qwen3-Omni, Gemma4, ...).

EMIT: Enhancing MLLMs for Industrial Anomaly Detection via Difficulty-Aware GRPO

基于ms-swift的Qwen3_8B 金融推理两阶段后训练（LoRA SFT->GRPO）。

Local, measurement-driven studio for fine-tuning document-parsing VLMs on dense-table archives — annotation studio, borderless table detection, ms-swift/LoRA training, evaluation

ConCuR: Conciseness Makes State-of-the-Art Kernel Generation (Reproduced)