ms-swift

Why we included this project

ms-swift is a fine-tuning and deployment framework from the ModelScope community that covers the full path from a raw checkpoint to a tuned, deployable model. It handles pre-training, instruction tuning, preference alignment, and GRPO-style reinforcement learning through a consistent command-line and web interface, so you do not have to stitch together separate training scripts. The breadth is what stands out: hundreds of text and multimodal architectures work out of the box, and lightweight methods like LoRA and QLoRA keep memory needs modest on a single GPU. It also covers inference acceleration through vLLM or SGLang, quantization, and evaluation, which makes it a practical choice for teams that want one tool to carry a model from training through deployment. It is especially convenient if you already work with ModelScope models, but it accepts models from other sources too.