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Jevseek

Experiment turning Jev into a sampler: DeepSeek proposes top-k next tokens with logprobs and Jev picks each token, also judging when to stop or cut rambling.

Stars
4
Language
Python
License
MIT
Published by
Community
Author
blingdivinity
Last verified
Oct 2026

About this project

DeepSeek proposes the next token. Jev chooses it. TypeSafe's jev is a decision model: it cannot generate text, it can only answer typed questions about a piece of state — pick one of these, yes or no, score this. jevseek makes it a sampler. Each step, deepseek-flash returns its top-k next tokens with logprobs; jev is shown the conversation and asked "Which token should come next?"; the token it picks is appended; repeat. Jev also decides when the reply is finished, and when it has started rambling.

Quoted from the project's README. Read the full README.

Highlights

  • Each step shows DeepSeek candidates to Jev as which-token-next, appending the pick until stop or ramble verdicts fire.
  • Gated, chat, essay, and pure presets trade Jev control against stability, all overridable via CLI flags.
  • Verbose mode shows per-token offers versus picks; record mode saves detector score plus full per-step trace.
  • Measurements and recorded runs with every candidate and judgment ship in FINDINGS and rendered run pages.

Watch out

Experimental sampler where long outputs can dissolve, repeat, or ramble; distinctive voice does not imply undetected text. Copy reviewed against the repository README on 2026-10-04, not from running it.

Questions about this entry

Short answers drawn from the linked project or page.

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