Promethevs: Full DeepSeek-v4.1-Flash-1017, locally, on 12GB of VRAM

What happened: PROMETHEVS runs the full DeepSeek-V4.1-Flash-1017 model from its original 510 GB of weights on a PC with 64 GB of RAM and one 12 GB NVIDIA card, using a compress-then-correct method by Ryan Flavell. Key numbers: 98.3% agreement with the full model on 960 audited words (2-bit copy alone: 97.4%); up to 7.4 Why it matters: The engine offers an OpenAI-compatible localhost endpoint with streaming and tool calls, so apps and coding agents that speak the OpenAI API can use it, and chats stay on the user's PC. The report notes 7.4 tokens/s is a best case, not a typical session.

PROMETHEVS runs the full DeepSeek-V4.1-Flash-1017 model from its original 510 GB of weights on a PC with 64 GB of RAM and one 12 GB NVIDIA card, using a compress-then-correct method by Ryan Flavell.

The engine offers an OpenAI-compatible localhost endpoint with streaming and tool calls, so apps and coding agents that speak the OpenAI API can use it, and chats stay on the user's PC. The report notes 7.4 tokens/s is a best case, not a typical session.