
Fine-tune open LLMs faster with far less GPU memory, locally or in a studio
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1 / 8Unsloth is an open source library for fine-tuning large language models, which rewrites the training loop with custom Triton kernels and hand-derived math. That makes training about twice as fast with up to 70% less VRAM, and it runs on consumer NVIDIA GPUs. It supports 500+ architectures including Llama 4, Qwen 3 and DeepSeek, plus reinforcement learning. Unsloth Studio adds a no-code web UI for datasets, training observability, model comparison and GGUF export for Ollama and vLLM. The project cites 40K GitHub stars.
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