hiyouga / LlamaFactory
Unified Efficient Fine-Tuning of 100+ LLMs & VLMs (ACL 2024)
Why this job: says: fine tuning; topics: fine-tuning, lora, rlhf, peft
What it does
- Various models. LLaMA, LLaVA, Mistral, Mixtral-MoE, Qwen3, Qwen3-VL, DeepSeek, Gemma, GLM, Phi, etc.
- Integrated methods. (Continuous) pre-training, (multimodal) supervised fine-tuning, reward modeling, PPO, DPO, KTO, ORPO, etc.
- Scalable resources. 16-bit full-tuning, freeze-tuning, LoRA and 2/3/4/5/6/8-bit QLoRA via AQLM/AWQ/GPTQ/LLM.int8/HQQ/EETQ.
- Advanced algorithms. GaLore, BAdam, APOLLO, Adam-mini, Muon, OFT, DoRA, LongLoRA, LLaMA Pro, Mixture-of-Depths, LoRA+, LoftQ and PiSSA.
- Practical tricks. FlashAttention-2, Unsloth, Liger Kernel, KTransformers, RoPE scaling, NEFTune and rsLoRA.
Get started
docker run -it --rm --gpus=all --ipc=host hiyouga/llamafactory:latest pip uninstall torch torchvision torchaudio
pip install torch torchvision torchaudio --index-url https://download.pytorch.org/whl/cu126
python -c "import torch; print(torch.cuda.is_available())" - Maintenance
- Active
- Last commit today
- Stars
- 75,952
- +116 this week
- Licence
- Apache-2.0
- Allows business use
- Downloads for
- None listed
- No release files
- Latest version
- v0.9.5
- Released 5 months ago
- Built with
- Python
- 100% of the code
Is it looked after?
- Contributors
- 19
- Last 90 days
- Issues
- 87% closed
- 1,016 still open
- Pull requests
- 1,049 merged
- 205 waiting
- Releases
- 36
- 2 in the last year
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More: languages, topics and project record
Languages
- Python 100%
- Dockerfile <1%
- Makefile <1%
Topics
- fine-tuning
- llama
- llm
- peft
- transformers
- rlhf
- qlora
- quantization
- qwen
- instruction-tuning
- gpt
- lora
Project record
- JobFine-tuning
- StatusFeatured
- Commits3,119
- Forks9,354
- Watching343
- Stars in 28 days+623
- CreatedMay 28, 2023
- First seen by usNov 7, 2026
- CheckedNov 9, 2026
