Unsloth Single-GPU Fine-Tuning Workflow
burny_tech · x · 2026-07-10
This technical share highlights how to fine-tune models on a single GPU using Unsloth. The workflow involves selecting a base model, writing Triton kernels to accelerate training, applying 4-bit quantization, and utilizing GRPO/DPO training to run the inference model. The original post also notes that Unsloth has become a go-to solution for fine-tuning Llama, Qwen, Gemma, and Phi on existing hardware.
Related event: Unsloth Shares Single-GPU Fine-Tuning and Quantization Workflow(2 posts)→
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