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clef

Cloudflare

- **Announcement:** Clef decision models on the Cloudflare blog - **Decision Index leaderboard:** clef-evals.workers-ai-mle.workers.dev Clef is a 27B multimodal model that turns a state and a schema of typed questions into decisions. It reads the state as text, JSON, images, or video, and returns a probability for every allowed option of every question in a single forward pass. There is no free-form text generation and no output parsing. Clef is post-trained from Qwen/Qwen3.8-27B. See Clef-Flash for the smaller, faster variant.

Input Text · Image→ Output Text
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clef-flash

Cloudflare

- **Announcement:** Clef decision models on the Cloudflare blog - **Decision Index leaderboard:** clef-evals.workers-ai-mle.workers.dev Clef-Flash is a 9B multimodal model that turns a state and a schema of typed questions into decisions. It reads the state as text, JSON, images, or video, and returns a probability for every allowed option of every question in a single forward pass. There is no free-form text generation and no output parsing. Clef-Flash is post-trained from Qwen/Qwen3.5-9B. See Clef for the larger variant.

Input Text · Image→ Output Text
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clef-omni

Cloudflare

Clef-Omni is a 30B-A3B mixture-of-experts multimodal model that turns a state and a schema of typed questions into decisions. It reads the state as text, JSON, images, audio, or video, and returns a probability for every allowed option of every question in a single forward pass. There is no free-form text generation and no output parsing. Clef-Omni is post-trained from Qwen/Qwen3-Omni-30B-A3B-Instruct. See Clef and Clef-Flash for the dense image and video variants. Tested with `torch` 2.11 and `transformers` 5.10.2 on a single H200; the backbone needs about 64 GB of GPU memory in bfloat16. Image inputs also need `pillow`, and audio and video files need `av`.

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