Cloudflare Clef 27B has 26.896 billion total parameters. The selected Q4_K_M GGUF file is 17.652 GB.
Data snapshot: . 1 published test in this catalog.
Model file and details
Provider
Cloudflare
Total parameters
26,895,998,464
Exact file size
17,652,432,960 bytes
Quantization / precision
Q4_K_M
Weight repository
bartowski/Cloudflare_clef-GGUF
Original model repository
Cloudflare/clef
Weight revision
9d3b28af7cfe8b3575e9f06ea42f12ed4ccf3f3c
Model revision
2f3de3dd85f379784083b0814d997ab627200f0c
Runtime notes
Decision model. llama.cpp uses /v1/systemone; text generation is unavailable. Image input requires current model support plus a compatible multimodal projector. See the Clef comparison for sources and checks.
Recorded release date
2026-09-30
Date evidence
Official Cloudflare source repository created 30 September 2026; llama.cpp Q4_K_M conversion published 1 October 2026 and replaced with a corrected static quantization on 6 October 2026.
These scores were compiled from the linked sources. These published scores were not independently tested here. Different prompts, precision, thinking budgets and tools can change results.
Decision Index 0.2.1 · BFCL
98.5 / 100
BFCL case-exact accuracy in Cloudflare's Decision Index 0.2.1 typed-decision harness. This is not standard generative BFCL or BFCL v4 and is kept separate.
Benchmark efficiency: 5.58 published score points per GB of selected weights. This ratio is not an inference-speed measure; check the test settings to see whether the score covers the selected quantization.
Test settings: Cloudflare-reported BFCL case-exact accuracy in its internal Decision Index 0.2.1 run; the suite jointly scores all options through Clef's typed-decision interface.
This is a source-checkpoint result, not an independent test of the selected Q4_K_M file. The typed-decision protocol is not comparable with standard generative BFCL or BFCL v4. Images in llama.cpp require the repository's separate multimodal projector; runner support and peak memory must be checked on the intended hardware.
Context and version evidence: The repository and file name identify the selected model. Revision hashes are shown above when recorded. Tested context length, full hardware configuration and run date are not consistently recorded in this snapshot. Only settings explicitly stated in each benchmark record are known.
The 17.652 GB figure covers model weights in this file. It excludes the context cache, runtime, operating system and any separate multimodal files. It is not a measured RAM requirement or a token-generation speed.
These complete configurations pass the initial weight-size check for the selected 17.65 GB file. Allow extra memory for context and software. Check the model’s runtime notes and your inference software before buying.
Listing evidence: 2026-09-25. Amazon.com base price visible in an owner-supplied screenshot reviewed 25 Sep 2026; capture time not supplied. Dated reference, not a live quote. Excludes card signup offers, coupons, tax and shipping.
Listing evidence: 2026-10-02. Apple US launch price for the base M5 Max Mac Studio, published 22 September 2026: USD 2,499. Dated manufacturer reference, not an Amazon offer; tax and shipping may differ.
Listing evidence: 2026-09-24. GMKtec, EVO-X2 / 64GB / 1TB, recorded 22 Sep 2026; exact ASIN capacity identified 24 Sep. This is a dated reference, not a current Amazon price; tax, shipping and bundle contents may differ.
Memory matches are estimates, not tested compatibility or speed. As an Amazon Associate I earn from qualifying purchases.
Decision model. llama.cpp uses /v1/systemone; text generation is unavailable. Image input requires current model support plus a compatible multimodal projector. See the Clef comparison for sources and checks. The selected weights use 17.652 GB; this excludes context cache, runtime buffers and other programs.
These are the first listed tiers that pass our reserve policy, not measured minimum requirements. System RAM and VRAM remain separate. Use the memory tool to change the reserve for your context and runner.