About LlamaFactory
Unified Efficient Fine-Tuning of 100+ LLMs & VLMs (ACL 2024)
LlamaFactory is a cutting-edge, open-source framework designed for the unified and efficient fine-tuning of over 100 large language models (LLMs) and vision-language models (VLMs), including popular families like Llama, GPT, Qwen, Gemma, and DeepSeek. Featured at ACL 2024, it streamlines the adaptation of pre-trained models to specific tasks and domains through advanced techniques such as LoRA, QLoRA, PEFT, quantization, instruction-tuning, and RLHF. Its unique value lies in providing a single, Python-based interface to manage diverse model architectures and training methods, dramatically reducing the complexity and computational cost typically associated with customizing state-of-the-art AI. As a free, GitHub-hosted tool, it empowers researchers, developers, and businesses to build specialized, high-performance AI agents and applications without vendor lock-in, making advanced model customization accessible and scalable for both experimentation and production.
Common Use Cases
- Fine-tuning a Llama 3 model for a custom customer support chatbot with domain-specific knowledge.
- Adapting a Qwen model via instruction-tuning to generate precise technical documentation from code comments.
- Using QLoRA and quantization to efficiently personalize a Gemma model for a mobile app on limited hardware.
- Applying RLHF with LlamaFactory to align a model's outputs with human preferences for a safe content moderation system.
- Creating a multi-modal agent by fine-tuning a vision-language model for detailed image captioning and visual Q&A tasks.
Not sure how we recommend this tool? Learn about our methodology
Key Features
- Python
- Open Source
- GitHub Hosted
How to Get Started
Usage Statistics
Active Users
69,432
API Calls
8,446,000
Additional Information
Category
Generative AI
Pricing
Free
Last Updated
4/3/2026
