xTuring
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About
xTuring is an open-source software designed to personalize AI models (LLMs) for specific needs. It offers a simple interface for customizing LLMs with your own data or applications. xTuring prioritizes simplicity, efficiency of compute and memory, and agility in customizing AI models. It supports fine-tuning various models like Bloom, Cerebras-GPT, Falcon, and LLaMA on datasets with or without LoRA and INT8. The tool supports memory-efficient fine-tuning techniques such as Low-Rank Adaption (LoRA) and 8-bit precision. The goal is to make AI accessible and customizable for everyone, allowing users to create specialized AI tools.
Platform
Task
Features
• simple and user-friendly interface
• supports various models (bloom, cerebras-gpt, falcon, galactica, gpt-j, gpt-2, llama, llama 2, opt)
• memory-efficient fine-tuning techniques (lora, 8-bit, 4-bit precision)
• fine-tune pre-trained models
• personalize 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.
Job Opportunities
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