LLaMA Factory

A comprehensive framework for fine-tuning LLaMA models with multiple training methods, efficient algorithms, and easy-to-use interface for both research and production environments.

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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. Framework features include:

Models: LLaMA, LLaVA, Mistral, Mixtral-MoE, Qwen, Yi, Gemma, Baichuan, ChatGLM, Phi, etc.
Trainers: (incremental) pre-training, (multimodal) instruction supervision fine-tuning, reward model training, PPO training, DPO training, KTO training, ORPO training, etc.
Computation Precision: 16-bit full-parameter fine-tuning, frozen fine-tuning, LoRA fine-tuning, and 2/3/4/5/6/8-bit QLoRA fine-tuning based on AQLM/AWQ/GPTQ/LLM.int8/HQQ/EETQ.
Optimization Algorithms: GaLore, BAdam, DoRA, LongLoRA, LLaMA Pro, Mixture-of-Depths, LoRA+, LoftQ, and PiSSA.
Acceleration Operators: FlashAttention-2 and Unsloth.
Inference Engines: Transformers and vLLM.
Experiment Monitors: LlamaBoard, TensorBoard, Wandb, MLflow, SwanLab etc.

LLaMA Factory

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