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Run a Jev-Style Model on Your Own GPU

A local-inference walkthrough that compares Kev, SemIf, Von, and OpenJev on consumer hardware, including Brier scores and a fake-probabilities warning.

Category
Practices & Patterns
Format
Video
Published by
Community
Author
Cloud Codes
Added
2026-09-25
Last verified
2026-09-25

Highlights

  • Claims KV-cache sharing lifts throughput from 2 to 20+ decisions per second on one consumer GPU.
  • Reviews Kev sizes, SemIf on an RTX 3090, Von's 395M CPU model, and OpenJev's multimodal path.
  • Reports 81 to 85% local accuracy against Jev's 88% and warns about fake self-reported probabilities.

Watch out

Aggregates third-party claims and asks for channel membership; no independent verification.

Reactions & coverage

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Reddit: A walkthrough of routing between models with Jev.

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Diogo Almeida
Diogo Almeida
TypeSafe AI
@CompleteSkeptic

After co-inventing ChatGPT, I kept asking myself: why have superhuman chat models not led to AGI? I’ve spent the last 2 years in stealth building a new way to train models (RLCD), and a new type of frontier AI model that we are releasing today: Jev • 20-200x faster • 40-400x

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