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Cloudflare 27B 多模态决策模型 Clef 上架 Ollama

Clef is available on Ollama's cloud

AI 导读

Clef,一个来自 Cloudflare 的 27B 多模态决策模型,现已在 Ollama 上可用,用户可在本地或 Ollama 云端运行。Clef 基于 Qwen3.8-27B 微调,采用 Apache 2.0 许可,支持文本和图像输入,可一次性对每个问题打分而非逐词生成。

正文 · 原文

October 19, 2026

Clef, a 27B multimodal decision model from Cloudflare, is now available on Ollama. Users can run it locally or on Ollama’s cloud. Clef turns a state and a schema of typed questions into decisions. It supports text and image input and is compatible with the Jev and System One APIs.

Clef is fine-tuned from Qwen3.8-27B and released under the Apache 2.0 license.

Highlights

  • Multimodal: Make decisions over text, JSON, or images, including screenshots, receipts, forms, and photos.
  • One pass: Clef reads the input once and scores every answer to every question at the same time, instead of writing a response word by word.
  • Leading accuracy: Clef tops Cloudflare’s Decision Index and beats Jev on most of its benchmark suite.

What you can build

Clef supports the following use cases:

  • Route a request: Define destinations and when each applies. Clef returns the chosen destination and each destination’s probability.
  • Check a condition: Define a yes-or-no question and the evidence. Clef returns true or false and the probability of each.
  • Apply a policy: Define rules and allowed outcomes to receive a typed decision based on supplied text or images.
  • Read a document: Supply a photo of a page and the fields to evaluate for field-by-field decisions with probabilities.
  • Tool-call moderation: Check an agent’s tool call before it runs.

Benchmarks

Results from Cloudflare’s announcement, scored on evaluations from the Jev Decision Index:

Benchmark Clef Clef-flash Jev DiffusionGemma Jev Kev 9B Laya
BFCL · case exact 98.47 98.76 95.75 96.52 94.51 38.13
ToolRet · nDCG@10 69.19 66.43 65.28 61.21 64.26 12.69
API-Bank · accuracy 91.93 93.11 88.19 83.66 56.30 11.41
Home appliances · case exact 82.95 97.73 52.27 42.05 25.00 0.00
When2Call · accuracy 72.37 65.58 80.97 75.44 49.62 11.94
BANKING77 · macro-F1 94.20 90.93 79.74 74.28 84.83 14.29
CLINC150+OOS · macro-F1 97.43 66.77 89.27 83.49 79.03 3.19
BRIGHT · nDCG@10 45.91 39.26 47.52 42.94 38.53 19.90
Amazon ESCI · macro-F1 57.48 57.39 55.21 53.37 49.22 24.40
PhishNChips · accuracy 79.60 75.05 62.55 85.35 50.75 50.15

On Typesafe’s own workflow evals, Clef beats Jev in 3 of 4 areas:

Workflow Clef Clef-flash Jev
Invoice processing 64.7 57.1 61.8
Customer service 76.3 77.0 76.0
Security incidents 62.9 61.7 61.7
Agent trace observability 68.5 69.8 71.6

Latency across 43 eval benchmarks, in milliseconds:

Latency Clef Clef-flash Jev DiffusionGemma Jev Kev 9B Laya
Median 209.3 38.8 524.1 84.4 51.4 5.8
p95 238.6 122.4 536.0 211.2 187.9 222.5

For more information, see:

来源:Ollama:Blog · ollama.com