GitHub - Magnvs7/Promethevs: PROMETHEVS: run the full DeepSeek-V4.1-Flash-1017 (510 GB) on a gaming PC with 64 GB RAM and a 12 GB GPU. PROMETHEVS engine (compress-then-correct), OpenAI-compatible local server, report and logs.
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GitHub repository Magnvs7/Promethevs has introduced PROMETHEVS, an engine that runs the full DeepSeek-V4.1-Flash-1017 model—a 510 GB workload—on a gaming PC with just 64 GB of RAM and a 12 GB GPU. The approach relies on a compress-then-correct technique, paired with an OpenAI-compatible local server plus accompanying reports and logs. The release matters because it sharply lowers the hardware barrier to running a large model locally, letting consumer-grade machines handle a workload that would normally demand far more memory and VRAM. What to watch next is whether the compression step preserves output quality in independent testing and whether the OpenAI-compatible interface draws broader adoption among local-inference developers.
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Named in this story
DeepSeek-V4.1-Flash-1017, Magnvs7, GitHub