xTuring
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About
xTuring is an open-source software designed to personalize AI models (LLMs). It offers a user-friendly interface to customize LLMs for specific needs. xTuring prioritizes simplicity, efficiency of compute and memory, and agility. It supports techniques optimized for low-resource fine-tuning, such as LoRA and 8-bit/4-bit precision. The tool allows users to fine-tune pre-trained models, prepare datasets, and perform inference. xTuring supports models like Bloom, Cerebras-GPT, Falcon, Galactica, GPT-J, GPT-2, LLaMA, LLaMA 2, and OPT.
Platform
Keywords
Task
Features
• support for 4-bit precision
• support for 8-bit precision
• support for lora
• agility and customizability of ai models
• efficient compute and memory usage
• simple interface for customization
• personalization of ai models
FAQs
How to fine-tune a LLM?
You can refer [here](/overview/quickstart/finetune%5Fguide) for a tutorial on how to fine-tune any model of your choice. The list of all the supported model can be found on [this page](/overview/supported%5Fmodels).
How to load a model not there in the [supported models](/overview/supported%5Fmodels)?
If you cannot find the model you want to use in the support models' list, then you can refer to [this guide](/advanced/anymodel) on how to load any other model of your choice with ease.
How to use an existing dataset for instruction fine-tuning?
A tutorial on this can be found [here](/overview/quickstart/data%5Fusage), where you will see how to load Alpaca Dataset and prepare it in instruction fine-tuning format.
How to setup xTuring to start contributing?
To setup the environment ready to contribute to xTuring, you need to do an _editable install_ of the source on your machine. The steps for the same are mentioned [here](/contributing/setting%5Fup#editable-install).
Which all fine-tuning memory-efficient techniques are supported by xTuring and how to use them with models not on the supported models' list?
Other than normal LLM fine-tuning, xTuring supports: * Low-Rank Adaption (LoRA), * 8-bit precision, * LoRA with 8-bit precision and * LoRA with 4bit precision techniques optimized for low-resource fine-tuning. To use any model not mentioned on the [supported models' list](/overview/suppported%5Fmodels), you can refer [this page](/advanced/anymodel) to fine-tune a model of your choice with the preferred technique.
Pricing Plans
Free
Free PlanJob Opportunities
There are currently no job postings for this AI tool.
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