A tool that supports PEFT or full parameter fine-tuning for over 500 large models and over 200 multimodal models.
ms-swift is a powerful tool designed to assist researchers and developers in performing parameter-efficient fine-tuning (PEFT) or full-parameter fine-tuning on over 500 large language models, including Qwen3, Qwen3-MoE, Llama4, GLM4.5, InternLM3, and DeepSeek-R1, as well as over 200 multimodal models such as Qwen3-VL, Qwen3-Omni, InternVL3.5, Ovis2.5, Llava, GLM4v, and Phi4. This tool supports a vast number of models, is highly adaptable, and is particularly suitable for researchers in both academia and industry. The project has been presented at the AAAI 2025 conference.
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