Unsloth fine-tunes open LLMs such as Llama, Qwen and Gemma with LoRA or QLoRA about twice as fast and with far less GPU memory than a stock Hugging Face setup, then exports the result to GGUF for Ollama and llama.cpp or to merged weights for vLLM. Use it when someone wants to train a model on their own data on a single GPU, a Colab notebook or a workstation. Trigger phrases: "fine-tune Llama on my data", "QLoRA on a 16 GB GPU", "train Qwen with Unsloth", "export my fine-tune to GGUF", "make an Ollama model from my dataset", "unsloth train", "FastLanguageModel".
