🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

Finetune Llama 3.1, Mistral, Phi & Gemma LLMs 2-5x faster with 80% less memory

Utils for Unsloth

Train transformer language models with reinforcement learning.

🤗 PEFT: State-of-the-art Parameter-Efficient Fine-Tuning.

Easy and Efficient Quantization for Transformers

Official repository of NEFTune: Noisy Embeddings Improves Instruction Finetuning

python version of raincloud

Distributed training framework for TensorFlow, Keras, PyTorch, and Apache MXNet.