Make LLM Fine-tuning 2x faster with Unsloth and 🤗 TRL

Hugging Face · 2 years ago · 21

Unsloth, a lightweight library developed by the open-source community, accelerates language model fine-tuning by rewriting PyTorch modules into optimized Triton kernels. Testing across 59 runs showed Unsloth achieved up to 2.7x faster training speeds and 74% memory reduction compared to standard methods, with zero accuracy loss. The library integrates directly with Hugging Face's TRL trainer suite and currently supports Llama and Mistral architectures, enabling faster model adaptation across NVIDIA GPUs from entry-level to H100s.