OpenPipe

Where it runs

• API

Tags

• #fine-tuning
• #cost-reduction
• #drop-in
• #open-weights

• View Unsloth details

  Fine-tuningFREEMIUMOpen core

  UN

  Unsloth

  Unsloth AI

  Fine-tune open LLMs 2x faster with far less VRAM. Open source.

  An open-source (Apache-2.0) framework for fine-tuning and running open-weight models with custom CUDA kernels — roughly 2x faster training and large VRAM savings, so 7B–13B models fit on a single consumer GPU. Free tier runs on Colab/Kaggle or locally; Pro and Enterprise tiers add multi-GPU and multi-node speedups. Exports to GGUF/Safetensors for llama.cpp, vLLM, and Ollama.

  AI insight: Hand-written CUDA kernels roughly halve fine-tuning time and VRAM, so a 13B model trains on a single consumer GPU.

  • fine-tuning
  • lora
  • open-source
  • training

  Open