Description
ms-swift is a comprehensive GitHub repository designed to facilitate the tuning of large language models (LLMs) and multi-modal language models (MLLMs). It supports both PEFT (Parameter-Efficient Fine-Tuning) and full-parameter tuning methods, allowing users to adapt over 600 LLMs and 300 MLLMs to their specific needs. The repository includes models such as Qwen3.8, DeepSeek-V4, GLM-5.1, and many others, providing a wide range of options for AI researchers and developers.
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The repository is particularly useful for those looking to optimize AI models for specific tasks or environments. By offering both PEFT and full-parameter tuning, ms-swift provides flexibility in how models are trained and deployed. This makes it an invaluable resource for AI practitioners who need to fine-tune models for various applications, from natural language processing to computer vision.
ms-swift is open-source, allowing for community contributions and collaboration. This openness not only accelerates the development of AI technologies but also ensures that the repository remains up-to-date with the latest advancements in the field. Users can clone the repository, install necessary dependencies, and start experimenting with different tuning methods to achieve optimal performance.
Overall, ms-swift is a versatile tool for AI model tuning, offering a robust framework for both academic research and industrial applications. Its support for a wide array of models and tuning methods makes it a go-to resource for anyone involved in AI development.
- CategoryMLOps & Model Deployment
- Pricing ModelOpen source
- DeploymentCloud, Self-hosted
- PlatformsWeb
ms-swift's Core Features
Supports PEFT and full-parameter tuning
Compatible with 600+ LLMs
Compatible with 300+ MLLMs
Includes models like Qwen3.8 and DeepSeek-V4
Open-source repository
Community contributions enabled
Flexible model training options
Suitable for various AI applications
Getting Started with ms-swift
Clone: Download the repository from GitHub
Install dependencies: Set up required libraries
Configure: Adjust settings for desired models
Execute: Run the tuning processes
Optimize: Fine-tune models for specific tasks
ms-swift's Use Cases
- AI Model Tuning
- Research and Development
- Industrial Applications
- Community Collaboration
- Multi-Modal Model Support









