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ms-swift

ms-swift is a GitHub repository that enables the use of PEFT or full-parameter tuning for over 600 large language models (LLMs) and 300 multi-modal language models (MLLMs). It supports models like Qwen3.8, DeepSeek-V4, and GLM-5.1, offering flexibility in AI model training and deployment.

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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

  • 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

  1. Clone: Download the repository from GitHub

  2. Install dependencies: Set up required libraries

  3. Configure: Adjust settings for desired models

  4. Execute: Run the tuning processes

  5. Optimize: Fine-tune models for specific tasks

  • AI Model Tuning
  • Research and Development
  • Industrial Applications
  • Community Collaboration
  • Multi-Modal Model Support

From ModelScope / Alibaba DAMO

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