What it does
Core capabilities at a glance
- Web UI for no-code fine-tuning
- 100+ model architectures supported
- Full fine-tuning, LoRA, QLoRA, GaLore, and more
- Pre-built dataset templates for common tasks
- Model export to GGUF, Ollama, and vLLM format
- Multi-GPU and DeepSpeed support
Deep dive
The full breakdown - performance, comparisons, and setup
LLaMA-Factory
LLaMA-Factory is the most user-friendly fine-tuning framework because it offers a proper web UI. You don't need to write YAML configs or Python scripts - configure your training run through a browser interface.
What it is
LLaMA-Factory is a comprehensive fine-tuning framework that combines a web UI with powerful training capabilities. It was created by hiyouga and has grown rapidly to become one of the most popular fine-tuning tools, ranking among the top on GitHub.
How it stacks up
| LLaMA-Factory | Unsloth | Axolotl | LitGPT | |
|---|---|---|---|---|
| Web UI | ✓ | ✗ | ✗ | ✗ |
| Ease of use | Highest | High | Medium | Medium |
| Model coverage | 100+ | 20+ | 100+ | 20+ |
| GGUF export | ✓ | ✓ | ✗ | ✓ |
| Best for | No-code training | Speed | Research | Pretraining |
Get started
git clone https://github.com/hiyouga/LLaMA-Factory.git
cd LLaMA-Factory
pip install -r requirements.txt
python src/train_web.py
# Open http://localhost:7860 in your browserWhen to use something else
From the community
What users are saying
“https://llamafactory.readthedocs.io/en/latest/ I found this link more useful. "LLaMA Factory is an easy-to-use and efficient platform for training and fine-tuning large language models. With LLaMA Factory, you can fine-tune hundreds of pre-trained models locally without writing any code."”
“I used Llama Factory, here are 3 core insights: - constant lr is more stable - 3 epochs is optimal for small batches - lower effective batch size compensates for small dataset size I think, for non-ML engineers it is cool product to get custom Llama for their business use-cases”
“FYI it also supports pre-training, reward model training and RL, not just fine tuning (sft). My team built a managed solution for training that runs on top of llama factory and it's quite excellent and well supported. You will need pretty serious equipment to get good results out of it, think 8xh200.”
Frequently asked
Quick answers to common questions
What is LLaMA-Factory?
LLaMA-Factory is a fine-tuning tool for local AI workloads. Easy-to-use LLM fine-tuning framework with web UI, supporting 100+ models and multiple training methods.
Is LLaMA-Factory free and open source?
Yes, LLaMA-Factory has 75,570 GitHub stars and is licensed under Apache-2.0. You can self-host it for free on linux, docker, windows.
What platforms does LLaMA-Factory support?
LLaMA-Factory runs on linux, docker, windows.
What hardware do I need for LLaMA-Factory?
The hardware requirements depend on which models you run. Check our hardware directory for compatible GPUs and systems. LLaMA-Factory has 75,570 GitHub stars and an active community.
Does LLaMA-Factory support GPU acceleration?
LLaMA-Factory supports GPU acceleration via CUDA, Metal, or Vulkan depending on your platform. For the best performance, pair it with an NVIDIA RTX 4090 or 5090.
What are the best alternatives to LLaMA-Factory?
Popular alternatives include other fine-tuning tools in our directory. Browse our full collection at /tool for comparisons, community reviews, and benchmark data to find the right fit for your workflow.
How much does LLaMA-Factory cost?
LLaMA-Factory is free-open-source. It is completely free and open source to self-host.
Pairs well with
Complementary tools, models, and hardware