Cloudflare27B~17 GB VRAM przy Q4_K_M

Clef 27B — VRAM & /v1/systemone setup

Autor: Jakub Rusinowski · Ostatnia aktualizacja:

Model decyzyjny 27B od Cloudflare na Qwen3.8-27B, z enkoderem obrazu. W Ollama jako clef (Apache-2.0), wywoływany przez /v1/systemone; Cloudflare nie opublikował żadnego benchmarku obrazów.

Clef 27B potrzebuje około 17 GB VRAM przy Q4_K_M — skwantyzowane wagi plus narzut frameworka, bez pamięci podręcznej KV. Na Apple Silicon ta wartość pochodzi z pamięci zunifikowanej.

Call Clef 27B

Pull it with Ollama 0.35.1 or newer, then POST to /v1/systemone. Do not use ollama chat commands — this is not a chat model.

Question types
choice noul (yes / no) score
Inputs
text image
Max candidates per question
26
Serve with
ollama pull clef
Endpoint
/v1/systemone
ollama pull clef
curl http://localhost:11434/v1/systemone \
  -H 'Content-Type: application/json' \
  -d '{
    "model": "clef",
    "state": {
      "ticket": "I was charged twice. Please refund the extra payment."
    },
    "questions": {
      "team": {
        "type": "choice",
        "instructions": "Which team should handle this ticket?",
        "criteria": {
          "billing": "Payments and refunds",
          "technical": "Bugs and integrations",
          "other": "None of the above"
        }
      }
    }
  }'
Wagi na Hugging Face: Cloudflare/clef ↗

Build a request for this model Decision models guide

The builder writes text requests only; it does not add an images field. See the images guide to send photos.

Hosted: Cloudflare Workers AI (@cf/cloudflare/clef): $0.24 per million input tokens, as of 2026-10-03. Informational; not a recommendation. Source ↗

Related guides: Decision models on images · Image request errors · Ollama setup · /v1/systemone errors

Other decision models: Nimble 9B · Tev1 4B · Tev1 0.8B · Winnow 12B · Winnow E4B · Decider 2B · Decider 4B · Decider 35B-A3B (NVFP4) · JevK5 4B · Intern-Decision 4B · AutoJev 27B · Laya · Clef-Flash 9B · Rune 26B-A4B v3 · OpenDecider-nano · OpenDecider-small · OpenDecider-small MLX 4-bit · Bosun v3.1 0.6B · Bosun v3.1 1.7B · d1-3B · d1-omni-600M · THX-01 322M

Hardware fit

Weights plus overhead plus the KV cache at a 8,192-token prompt, on NVIDIA RTX 4090 (24 GB). A publisher build is sized from its file; the other rows are modelled at a standard quant. Decision requests are short, so no long-context figure is shown. Image tokens are not modelled: each image adds to the prompt, so a request with images needs more memory than these rows.

Kwant.VRAMDopasowanie
Ollama build
Publisher build · 17.99 GB file
20.5 GBMieści się
Q4_K_M
4.83 bpw · modelled quant
19.1 GBMieści się
Q6_K
6.56 bpw · modelled quant
25 GBCzęściowo w RAM
Q8_0
8.50 bpw · modelled quant
31.6 GBCzęściowo w RAM

Published file size: Ollama build 17.99 GB. A download size from the model publisher — not a VRAM requirement.

How it was scored

Two different suites on two different scales. Never compare the numbers across the two cards.

Author's public benchmark

Cloudflare's internal run of the Decision Index 0.2.1 suite (vendor-reported)
BFCL (case exact accuracy)98.5%
API-Bank (accuracy)
91.9%
BANKING77 (macro-F1)
94.2%
CLINC150+OOS (macro-F1)
97.4%
RAGTruth (hallucination F1)
79.4%
Home appliance simulator (case exact accuracy)
83.0%

Raw per-benchmark scores from the vendor's own internal run, not chance-corrected and not independently reproduced. They are not the Decision Index's balanced skill, so do not compare them with the card beside this one. Six of the published rows are shown; the rest are on the Hugging Face model card. Cloudflare has published no image benchmark for either Clef model.

Source ↗

Decision Index 0.2.1 (snapshot 2026-09-28)

Decision Index 0.2.1Community Decision Index (not by the model's authors)
Balanced skill—

Clef and Clef-Flash were released on 1 October 2026, after the 28 September snapshot. Community-maintained; not affiliated with the model authors.

Source ↗

Decision models are not ranked on chat, creative or coding scores.

Specyfikacja

Verified — Checked against the primary source — the model card or the vendor spec page — and corroborated by a second independent source. Jeszcze niepotwierdzone: contextWindow, baseModel.

Parametry
27.36B
Okno kontekstu
64K (documented)
Architektura
Fine-tune of Qwen/Qwen3.8-27B
Dostawca
Cloudflare
Licencja
Apache-2.0
Practical deployment
Single consumer GPU
Określono przy
Q4_K_M
RAM systemowy
36 GB
Rekord zaktualizowany
2026-10-03
LicencjaApache-2.0Użycie komercyjne dozwolone

Commercial use permitted. No usage restrictions beyond attribution.

Inne rozmiary Clef

Clef 27B — najczęściej zadawane pytania

What is Clef 27B?

Clef 27B is a decision model: you send it a state and typed questions (choice, yes/no/unknown, or a score) and it returns one answer per question with a probability for every option. It is not a chat model.

How do I run Clef 27B locally?

Install Ollama 0.35.1 or newer, run `ollama pull clef`, then POST your state and questions to http://localhost:11434/v1/systemone. It is called through the API, not a chat session.

How much memory does Clef 27B need?

About 17 GB for the weights plus overhead at Q4_K_M, before the prompt's KV cache. Decision prompts are short, so the cache stays small.

Should I use Clef or Clef-Flash?

On Cloudflare's own text benchmarks (vendor-reported) they differ. Clef-Flash scores higher on BFCL (98.8 vs 98.5), API-Bank (93.1 vs 91.9) and the home appliance simulator (97.7 vs 83.0), which suit decisions over a small set of options. Clef scores higher on CLINC150+OOS (97.4 vs 66.8), a many-class intent task with out-of-scope inputs, and on RAGTruth hallucination detection (79.4 vs 35.6). Neither has a published image result, so measure both on your own examples.

Does Clef accept images?

Ollama's API reference lists Clef and Clef Flash for image input: base64 PNG, JPEG or WebP in an images array, Ollama 0.35.1 or later. Cloudflare has published no image benchmark for either model, so measure it on your own images before relying on it. The images guide shows how.

Why does Ollama list MLX tags for Clef?

Ollama lists MLX tags for both Clef models, but its System One API reference says MLX models are not supported on /v1/systemone. Use the default tag (ollama pull clef or ollama pull clef-flash).