Jev directory
CommunityJev Models & Reimplementations
Clef on Hugging Face
The Apache-2.0 weights behind Cloudflare's Clef: a 27B multimodal model that takes text, JSON, images or video as state and returns a probability for every allowed option of every typed question in a single forward pass. The card links the Cloudflare announcement and a Decision Index leaderboard.
- Reading time
- 2 min
- Published by
- Community
- Author
- Cloudflare
- Last verified
- Oct 2026
Works forJev for Classification
Used inJev for Software & DevTools
- Capabilities
- Open source
Highlights
- 27B multimodal model: state can be text, JSON, images or video, and every allowed option of every typed question gets a probability in one forward pass.
- Apache-2.0 weights built on a Qwen3.8-27B base, with 27.4B BF16 parameters in sharded safetensors totalling about 54.7 GB.
- The card links the Cloudflare blog announcement and a Decision Index leaderboard at clef-evals.workers-ai-mle.workers.dev.
- The Hub listing showed about 2,166 likes at fetch time, with tags including systemone, decision-model and image-text-to-typed-output.
Watch out
Copy reviewed against the Hugging Face card fetched on 2026-10-15; the fetch captured mostly the embedded chat template and cut the card's own text off early, so benchmarks, deployment commands, pricing and the full usage section are not covered here.
Questions about this entry
Short answers drawn from the linked project or page.
The Hugging Face weights and model card for Cloudflare's Clef, the 27B multimodal decision model. It is the artifact itself; the catalog's separate entry covers the Cloudflare announcement and Workers AI availability.
It turns a state - text, JSON, images or video - plus a schema of typed questions into decisions, returning a probability for every allowed option of every question in a single forward pass, according to the card.
Apache-2.0 weights, built on a Qwen3.8-27B base; the repository lists 27.4B BF16 parameters across sharded safetensors totalling about 54.7 GB.
It is a System One-compatible decision model in the same family of typed-question interfaces Jev popularized, tagged systemone and decision-model on the Hub. It is Cloudflare's model, not a TypeSafe release, and nothing on this page claims parity with Jev.
The Cloudflare blog announcement and a Decision Index leaderboard at clef-evals.workers-ai-mle.workers.dev, per the readable part of the fetched page.
Not in what was fetched. The page text was captured only up to the opening paragraph before the truncation point, so no benchmark table, quantization details or deployment instructions could be read for this entry.
The fetched page showed about 2,166 likes and roughly 19.3k downloads at that time, with eleven community discussions. Other numbers, such as benchmark scores, were not captured in the readable portion of the fetch.
Reactions & coverage
Posts, threads, and videos about this entry from around the web.
LinkedIn: What multimodal decision models actually change, and what they do not.
LinkedInJevDirectory.org
X: Search and tagging on keep.md
Reddit: Jev is on Workers AI as typesafe/jev
More Jev resources like this
An open, local attempt to bring Jev-style typed decisions to images: a Qwen3-VL backbone returns numerical distributions for independent choice, score and noul questions without generating answer text.
Jev Models & Reimplementations#community#catalog-import#madewithjev
Community
andrueandersoncs/visual-jevPython
andrueandersoncs/visual-jevPythonAn open-source, Jev-compatible System One model: Dex answers choice, score and yes/no questions over text in a single forward pass from an Ettin-1B encoder, and speaks the same /v1/systemone shape as Jev.
Jev Models & Reimplementations#community#catalog-import#madewithjev
Community
canadaornaw/dexPython
canadaornaw/dexPythonCloudflare's announcement of Clef-omni, an open-weight decision model that takes audio and video alongside text and images in one request, built on a Qwen3-Omni mixture-of-experts backbone, plus a faster Clef and a cheaper Clef-flash.
Jev Media & TalksPost#community#catalog-import#madewithjev
Community
The Strands Agents team's 2B open-source decision model: it swaps Qwen3.5-2B's language-model head for a roughly million-parameter pointer head that scores offered options, runs on local CPU or GPU, and placed third of 33 in its JevBench class.
Jev Models & ReimplementationsArticle#community#catalog-import#madewithjev
Community
A System One model family for video: VideoJev-4B and VideoJev-35B-A3B perform temporal grounding and multiple-choice video QA by scoring candidates directly, returning probabilities instead of generated text.
Jev Models & Reimplementations#community#catalog-import#cobanov
Community
mcg-nju/videojevPython
mcg-nju/videojevPythonAn independent fork of Laya that replaces its text encoder with a small vision-language model, giving calibrated typed decisions over an image plus text in one forward pass from a 201M-parameter SmolVLM-256M backbone.
Jev Models & Reimplementations#community#catalog-import#cobanov
Community
r33drichards/laya-visionPython
r33drichards/laya-visionPythonFrom the Jev guides
Original write-ups on what this entry is for.
From the Jev AI model community
Posts from builders shipping with Jev right now.