// Train & fine-tune
Liger-Kernelv0.8.4
Efficient Triton Kernels for LLM Training
Open source Maintained For developers
IN ONE PARAGRAPH
Liger-Kernel is efficient Triton Kernels for LLM Training.
Good for: Developers and teams who want to train & fine-tune.
01How to start
- 1Read the official quick-start (link above).
- 2Install from the official package registry:
pip install liger-kernel - 3Try it on a small example before wiring it into a project.
02Alternatives & comparison
Compare side by side → unsloth Local UI to run and train LLMs and diffusion models. Supports GGUF, MLX, Qwen3.8, DeepSeek-V4, MiniMax-H3, Gemma 4, FLUX and more. ★ 78k LlamaFactory Unified Efficient Fine-Tuning of 100+ LLMs & VLMs (ACL 2024) ★ 76k transformers 🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training. ★ 168k ms-swift Use PEFT or Full-parameter to CPT/SFT/DPO/GRPO 600+ LLMs (Qwen3.8, DeepSeek-V4, GLM-5.1, InternLM3, Llama4, ...) and 300+ MLLMs (Qwen3-VL, Qwen3-Omni, InternVL3.5, Ovis2.5, GLM5.3, Gemma4, Llava, Phi4, ...) (AAAI 2025). ★ 16k litgpt 20+ high-performance LLMs with recipes to pretrain, finetune and deploy at scale. ★ 14k