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-com…
What it does
Core capabilities at a glance
- Consumer Hardware
- Deepseek
- Deepseek V4
- LLM Inference
- Local Inference
- Local LLM
- Mixture OF Experts
- Openai Compatible
Deep dive
The full breakdown - performance, comparisons, and setup
PromethevsLink to this section
Promethevs is a local inference server - 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.
OverviewLink to this section
Run the full 510 GB DeepSeek-V4.1-Flash on a five-year-old gaming PC
PROMETHEVS runs DeepSeek-V4.1-Flash-1017, one of the strongest open models, from all 510 GB of its original weights, on an ordinary PC that cannot even load it: a Ryzen 9 3950X with 64 GB of DDR4, an RTX 3060 with 12 GB and two NVMe drives.
The PROMETHEVS engine gets there with compress-then-correct, a method devised by Ryan Flavell. Every word is first computed on a 2-bit copy of the model's experts. When the model itself is unsure (its top two choices are close), that word is recomputed with the original weights, rebuilt exactly from a stored correction plane. You get close to the speed of the compressed copy and close to the answers of the full model.
Promethevs is open-source, with 173 GitHub stars under the CC-BY-4.0 license. The latest release is v0.2 (2026-10-23).
Key capabilitiesLink to this section
From the project's documentation:
- Private. The model runs on your PC; your chats stay there.
- Free. Engine Apache-2.0; report, figures and logs CC BY 4.0.
- The technical report (PDF and Markdown) and its figures
- The logs behind every number in it, unedited (RESULTS.md lists them)
- The commands we ran to build the stores and the measurements (REPRO.md)
- A clean install of 0.2 on a second machine has not been run yet.
How it fits a local-AI stackLink to this section
Promethevs runs on your own hardware, so pair it with a model and a GPU sized to your needs. Use the VRAM calculator to pick a model that fits your card, and see what you can run for hardware guidance. Related local inference servers in the directory:
SourcesLink to this section
- Source code & docs: Magnvs7/Promethevs
Stats from GitHub, 2026-11-13.
Frequently asked
Quick answers to common questions
What is Promethevs?
Promethevs is a inference-server tool for local AI workloads. 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-com…
Is Promethevs free and open source?
Yes, Promethevs has 173 GitHub stars and is licensed under CC-BY-4.0. You can self-host it for free on windows.
What platforms does Promethevs support?
Promethevs runs on windows.
What hardware do I need for Promethevs?
The hardware requirements depend on which models you run. Check our hardware directory for compatible GPUs and systems. Promethevs has 173 GitHub stars and an active community.
Does Promethevs support GPU acceleration?
Promethevs supports GPU acceleration via CUDA, Metal, or Vulkan depending on your platform. For the best performance, pair it with an NVIDIA RTX 4090 or 5090.
What are the best alternatives to Promethevs?
Popular alternatives include other inference-server tools in our directory. Browse our full collection at /tool for comparisons, community reviews, and benchmark data to find the right fit for your workflow.
How much does Promethevs cost?
Promethevs is free-open-source. It is completely free and open source to self-host.
Pairs well with
Complementary tools, models, and hardware