LLaMA Factory
hiyouga/LlamaFactory
A tool that lets you easily fine-tune 100+ large language models with web and CLI support, training custom AIs without writing code.
Unified Efficient Fine-Tuning of 100+ LLMs & VLMs (ACL 2024)
AI Summary
What This Project Does
It is an all-in-one platform for fine-tuning large models, turning various models (like Llama3, Qwen) into your exclusive assistant.
What Problems It Solves
Solves the problems of writing complex code, difficult tuning, and environment configuration for fine-tuning AI models, making training as simple as ordering from a menu.
Who It's For
Developers who want to customize private AI, students researching large models, or companies wanting to build exclusive knowledge bases at low cost.
Typical Use Cases
1. Let AI learn your company documents; 2. Rewrite open-source models into specific styles; 3. Train vertical domain models on local computers.
Key Strengths & Highlights
Supports many models, has a visual interface, supports training on consumer-grade GPUs, active community with full documentation.
Getting Started Requirements
Requires some Linux basics, usually needs a GPU environment, but supports zero-code web version operation.
Purpose
Suitable for low-cost custom LLM scenarios with some hardware basis, not for pure beginners without technical knowledge or GPU resources.
Category
Tech Stack
Project Info
- Primary Language
- Python
- Default Branch
- main
- License
- Apache-2.0
- Created
- May 28, 2023
- Last Commit
- 7 days ago
- Last Push
- 7 days ago
- Indexed
- Apr 19, 2026