The GitHub project Soup demonstrates a workflow for fine-tuning an 8B-scale model on a laptop GPU with only 4 GB of VRAM. It was presented on Hacker News as a Show HN submission, receiving 127 points and 27 comments. The available record does not specify the exact model, dataset, training duration, hardware, memory-saving method, or evaluation results, so the practical claim should be verified in the repository before adoption.
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