xTuring
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About
xTuring is an open-source software that empowers users to personalize and customize Large Language Models (LLMs). It provides a simple, user-friendly interface to tailor LLMs for specific data and applications, offering complete control over AI personalization. Guided by principles of Simplicity and Productivity, xTuring aims to make AI tasks easy for both new and experienced developers. It prioritizes Efficiency of Compute and Memory, ensuring projects run smoothly without excessive resource consumption. Furthermore, xTuring emphasizes Agility and Customizability, allowing users to adapt and fine-tune AI models to their evolving needs, fostering flexibility and creativity in the AI landscape. It acts as a personal AI workshop for improving models or creating special AI tools.
Platform
Task
Features
• open-source software
• community support via discord and twitter
• memory-efficient fine-tuning techniques (lora, 8-bit, 4-bit)
• supports fine-tuning of various llms (e.g., bloom, falcon, llama)
• agility and customizability for ai models
• efficient compute and memory utilization
• easy-to-use interface for customization
• personalize ai models (llms)
FAQs
How to fine-tune a LLM?
You can refer here 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.
How to load a model not there in the supported models?
If you cannot find the model you want to use in the support models' list, then you can refer to this 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 on this can be found here, 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.
Which all fine-tuning memory-efficient techniques are supported by xTuring and how to use them with models not on the supported models' list?
xTuring supports Low-Rank Adaption (LoRA), 8-bit precision, LoRA with 8-bit, and LoRA with 4-bit precision for memory-efficient fine-tuning. Refer to the provided guide for usage with unsupported models.
Pricing Plans
Free
Free Plan• Open-source software
• Fine-tune LLMs
• Supports various models (Bloom, Falcon, LLaMA, GPT-J, etc.)
• Memory-efficient fine-tuning (LoRA, 8-bit, 4-bit)
• Community support via Discord and Twitter
Job Opportunities
There are currently no job postings for this AI tool.
Ratings & Reviews
No ratings available yet. Be the first to rate this tool!
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