Files read on Hugging Face: 2026-10-24

FLUX.2 [klein] GGUF files and Mac RAM

Compact FLUX.2 text-to-image and editing family in 4B and 9B sizes. The 4B model is Apache 2.0; the 9B models use the FLUX Non-Commercial License.

Black Forest Labs · Updated 2026-10-24
Answer

No published Mac run with a GGUF build yet. The smallest complete GGUF download is 12.51 GB; a download that fits in memory does not prove the model runs.

Smallest Mac with a published run
none yetunknown below
Smallest complete download
12.51 GBKlein 4B Q8_0 GGUF
Files read
2026-10-24Hugging Face

Apache 2.0 (4B), FLUX Non-Commercial License (9B). Commercial use: restricted. Excluded territories: none listed. The 4B model allows commercial use under Apache 2.0. Model use of the 9B models is non-commercial, and filters or manual review are required.

Builds here are the distilled 4B and 9B checkpoints. Base 4B, Base 9B and 9B KV are separate checkpoints without their own Mac measurements.

Table 1

Which exact GGUF files make a complete build?

Only builds with every required component and an exact probed file size are shown.

Klein 4B Q8_0 GGUF

gguf · Q8_0 · 12.51 GB complete

Mac routes: stable-diffusion.cpp

Exact component files for Klein 4B Q8_0 GGUF
FileComponentRequiredDownloadSource
flux-2-klein-4b-Q8_0.ggufunsloth/FLUX.2-klein-4B-GGUFFLUX.2 klein transformerditYes4.30 GBHugging FaceRead 2026-10-24
text_encoder/model-00001-of-00002.safetensorsblack-forest-labs/FLUX.2-klein-4BQwen3 text encodertext_encoderYes4.97 GBHugging FaceRead 2026-10-24
text_encoder/model-00002-of-00002.safetensorsblack-forest-labs/FLUX.2-klein-4BQwen3 text encodertext_encoderYes3.08 GBHugging FaceRead 2026-10-24
vae/diffusion_pytorch_model.safetensorsblack-forest-labs/FLUX.2-klein-4BFLUX.2 VAEvaeYes0.17 GBHugging FaceRead 2026-10-24

Build sources: FLUX.2 klein GGUF card · stable-diffusion.cpp README.

Klein 9B Q4_K_M GGUF

gguf · Q4_K_M · 22.46 GB complete

Mac routes: stable-diffusion.cpp

Exact component files for Klein 9B Q4_K_M GGUF
FileComponentRequiredDownloadSource
flux-2-klein-9b-Q4_K_M.ggufunsloth/FLUX.2-klein-9B-GGUFFLUX.2 klein transformerditYes5.91 GBHugging FaceRead 2026-10-24
text_encoder/model-00001-of-00004.safetensorsblack-forest-labs/FLUX.2-klein-9BQwen3 text encodertext_encoderYes4.90 GBHugging FaceRead 2026-10-24
text_encoder/model-00002-of-00004.safetensorsblack-forest-labs/FLUX.2-klein-9BQwen3 text encodertext_encoderYes4.92 GBHugging FaceRead 2026-10-24
text_encoder/model-00003-of-00004.safetensorsblack-forest-labs/FLUX.2-klein-9BQwen3 text encodertext_encoderYes4.98 GBHugging FaceRead 2026-10-24
text_encoder/model-00004-of-00004.safetensorsblack-forest-labs/FLUX.2-klein-9BQwen3 text encodertext_encoderYes1.58 GBHugging FaceRead 2026-10-24
vae/diffusion_pytorch_model.safetensorsblack-forest-labs/FLUX.2-klein-9BFLUX.2 VAEvaeYes0.17 GBHugging FaceRead 2026-10-24

Build sources: FLUX.2 klein GGUF card · stable-diffusion.cpp README.

Table 2

Does it fit your Mac's RAM?

Published names the exact measured machine. est. is a memory calculation. unknown means the run verdict is not established, not that the model fails.

Run verdicts by Mac memory tier
Mac RAMComplete buildDownloadRun verdictBasis
8 GBKlein 4B Q8_0 GGUFQ8_0 · stable-diffusion.cpp12.51 GBDoes not fitest.
16 GBKlein 4B Q8_0 GGUFQ8_0 · stable-diffusion.cpp12.51 GBunknownunknown
24 GBKlein 4B Q8_0 GGUFQ8_0 · stable-diffusion.cpp12.51 GBunknownunknown
32 GBKlein 4B Q8_0 GGUFQ8_0 · stable-diffusion.cpp12.51 GBunknownunknown
48 GBKlein 4B Q8_0 GGUFQ8_0 · stable-diffusion.cpp12.51 GBunknownunknown
64 GBKlein 4B Q8_0 GGUFQ8_0 · stable-diffusion.cpp12.51 GBunknownunknown
96 GBKlein 4B Q8_0 GGUFQ8_0 · stable-diffusion.cpp12.51 GBunknownunknown
128 GBKlein 4B Q8_0 GGUFQ8_0 · stable-diffusion.cpp12.51 GBunknownunknown

How does it rank in blind votes?

No independent score yet.

Which Mac software routes are listed?

  • stable-diffusion.cpp

    Official

    Formats: gguf, safetensors. Memory policy: component stages stay resident.

    C/C++ runner with Metal on Mac and CUDA on NVIDIA. It reads GGUF and safetensors, and its docs keep a page per model family. Resident size is the sum of the weights, an upper bound.

    Sources: stable-diffusion.cpp README, backends

What does the official configuration say?

"The 4B card says the model fits in about 13GB VRAM and is accessible on NVIDIA RTX 3090/4070 and above. This is an NVIDIA statement, not a Mac minimum."

Source: FLUX.2 klein 4B model card · Read 2026-10-24.

What known issues should you check?

  • Known issue 1

    Official sources disagree on the 4B VRAM figure: the Hugging Face card says about 13GB, while the reference README says about 8GB without naming a configuration.

    Source: FLUX.2 reference README · Read 2026-10-24

  • Known issue 2

    The 9B card says the model fits in about 29GB VRAM and is accessible on NVIDIA RTX 4090 and above. This is an NVIDIA statement, not a Mac minimum.

    Source: FLUX.2 klein 9B model card · Read 2026-10-24

Sources