Audience
AI researchers and developers wanting a solution to fine-tune a wide array of language and vision-language models
About LLaMA-Factory
LLaMA-Factory is an open source platform designed to streamline and enhance the fine-tuning process of over 100 Large Language Models (LLMs) and Vision-Language Models (VLMs). It supports various fine-tuning techniques, including Low-Rank Adaptation (LoRA), Quantized LoRA (QLoRA), and Prefix-Tuning, allowing users to customize models efficiently. It has demonstrated significant performance improvements; for instance, its LoRA tuning offers up to 3.7 times faster training speeds with better Rouge scores on advertising text generation tasks compared to traditional methods. LLaMA-Factory's architecture is designed for flexibility, supporting a wide range of model architectures and configurations. Users can easily integrate their datasets and utilize the platform's tools to achieve optimized fine-tuning results. Detailed documentation and diverse examples are provided to assist users in navigating the fine-tuning process effectively.
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Pricing
Starting Price:
Free
Free Version:
Free Version available.
Integrations
Company Information
hoshi-hiyouga
github.com/hiyouga/LLaMA-Factory
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Product Details
Platforms Supported
Cloud
Windows
Training
Documentation
Support
Online
