xTuring
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About
xTuring is an open-source software platform designed for building and controlling personalized AI models, specifically Large Language Models (LLMs). It offers a user-friendly interface empowering users to customize AI applications according to their needs, enhancing personalization for better performance. Emphasizing simplicity, efficiency, and flexibility, xTuring allows for fine-tuning various pre-trained models while optimizing resource usage. The platform caters to both newcomers and experienced developers, enabling seamless interaction with AI tools. With support for multiple models and advanced fine-tuning techniques, xTuring stands as a comprehensive platform for those looking to innovate in the AI domain.
Platform
Task
Features
• open-source and community-driven
• agility and customizability of models
• efficiency in compute and memory usage
• support for fine-tuning pre-trained models
• user-friendly interface for ai customization
FAQs
How to fine-tune a LLM?
You can refer to the tutorial on how to fine-tune any model of your choice.
How to load a model not in the supported models?
Refer to the guide on how to load any other model of your choice with ease.
How to use an existing dataset for instruction fine-tuning?
A tutorial can be found on how to load Alpaca Dataset and prepare it in instruction fine-tuning format.
How to setup xTuring to start contributing?
To setup the environment, you need to do an editable install of the source on your machine.
Which fine-tuning memory-efficient techniques are supported?
xTuring supports Low-Rank Adaptation (LoRA), 8-bit precision, LoRA with 8-bit precision, and LoRA with 4-bit precision.
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