FLUX 3 Image Klein GGUF files and Mac RAM
Distilled 5.6B text-to-image and editing model with Qwen3-VL-4B-Instruct as the text encoder. The FLUX Kommunity License limits model use to non-commercial work, with an output exception below US$5,000,000 revenue.
No published Mac run with a GGUF build yet. The smallest complete GGUF download is 12.88 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
- 12.88 GBQ4_K_M GGUF
- Files read
- 2026-10-24Hugging Face
FLUX Kommunity License v1.0. Commercial use: restricted. Excluded territories: none listed. Ordinary model use is non-commercial. Output generation has an exception for qualifying users below US$5,000,000 gross annualized revenue.
This is the distilled FLUX 3 Image Klein checkpoint. FLUX 3 Image Klein Base and the prompt upsampler are separate repositories and roles.
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Which exact GGUF files make a complete build?
Only builds with every required component and an exact probed file size are shown.
Q4_K_M GGUF
gguf · Q4_K_M · 12.88 GB completeMac routes: Diffusers
| File | Component | Required | Download | Source |
|---|---|---|---|---|
flux-3-image-klein-Q4_K_M.ggufunsloth/flux-3-image-klein-GGUF | FLUX 3 transformerdit | Yes | 3.67 GB | Hugging FaceRead 2026-10-24 |
text_encoder/model-00001-of-00002.safetensorsblack-forest-labs/flux-3-image-klein | Qwen3-VL-4B-Instruct text encodertext_encoder | Yes | 4.97 GB | Hugging FaceRead 2026-10-24 |
text_encoder/model-00002-of-00002.safetensorsblack-forest-labs/flux-3-image-klein | Qwen3-VL-4B-Instruct text encodertext_encoder | Yes | 3.91 GB | Hugging FaceRead 2026-10-24 |
vae/diffusion_pytorch_model.safetensorsblack-forest-labs/flux-3-image-klein | FLUX image autoencodervae | Yes | 0.34 GB | Hugging FaceRead 2026-10-24 |
Build sources: FLUX 3 Image Klein GGUF card · Diffusers GGUF guide.
Q8_0 GGUF
gguf · Q8_0 · 15.30 GB completeMac routes: Diffusers
| File | Component | Required | Download | Source |
|---|---|---|---|---|
flux-3-image-klein-Q8_0.ggufunsloth/flux-3-image-klein-GGUF | FLUX 3 transformerdit | Yes | 6.09 GB | Hugging FaceRead 2026-10-24 |
text_encoder/model-00001-of-00002.safetensorsblack-forest-labs/flux-3-image-klein | Qwen3-VL-4B-Instruct text encodertext_encoder | Yes | 4.97 GB | Hugging FaceRead 2026-10-24 |
text_encoder/model-00002-of-00002.safetensorsblack-forest-labs/flux-3-image-klein | Qwen3-VL-4B-Instruct text encodertext_encoder | Yes | 3.91 GB | Hugging FaceRead 2026-10-24 |
vae/diffusion_pytorch_model.safetensorsblack-forest-labs/flux-3-image-klein | FLUX image autoencodervae | Yes | 0.34 GB | Hugging FaceRead 2026-10-24 |
Build sources: FLUX 3 Image Klein GGUF card · Diffusers GGUF guide.
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.
| Mac RAM | Complete build | Download | Run verdict | Basis |
|---|---|---|---|---|
| 8 GB | Q4_K_M GGUFQ4_K_M · Diffusers | 12.88 GB | Does not fit | est. |
| 16 GB | Q4_K_M GGUFQ4_K_M · Diffusers | 12.88 GB | unknown | unknown |
| 24 GB | Q4_K_M GGUFQ4_K_M · Diffusers | 12.88 GB | unknown | unknown |
| 32 GB | Q4_K_M GGUFQ4_K_M · Diffusers | 12.88 GB | unknown | unknown |
| 48 GB | Q4_K_M GGUFQ4_K_M · Diffusers | 12.88 GB | unknown | unknown |
| 64 GB | Q4_K_M GGUFQ4_K_M · Diffusers | 12.88 GB | unknown | unknown |
| 96 GB | Q4_K_M GGUFQ4_K_M · Diffusers | 12.88 GB | unknown | unknown |
| 128 GB | Q4_K_M GGUFQ4_K_M · Diffusers | 12.88 GB | unknown | unknown |
How does it rank in blind votes?
No independent score yet.
Which Mac software routes are listed?
Diffusers
OfficialFormats: safetensors, gguf. Memory policy: component stages stay resident.
Runs on the PyTorch mps device on Mac and CUDA on NVIDIA. GGUF loads through from_single_file on the model class, not the pipeline. Resident size is the sum of the weights, an upper bound.
Sources: Diffusers MPS guide · Diffusers GGUF guide
What does the official configuration say?
"Peak GPU memory with the reference code on a B200 at 1024x1024 with the prompt upsampler off is 31 GB in BF16, 26 GB in FP8 and 25 GB in NVFP4. This is a datacenter GPU figure, not a Mac minimum."
Source: FLUX 3 Image Klein model card · Read 2026-10-24.
What known issues should you check?
Known issue 1
Black Forest Labs says not to use the model without a prompt upsampler. The upsampler is a separate 9B model and is not counted in the sizes here.
Source: FLUX 3 Image Klein model card · Read 2026-10-24
Known issue 2
The Mac timings come from a run with other applications active and growing swap. The authors call them observations under shared load, not a speed ranking.
Source: mflux FLUX 3 memory benchmark · Read 2026-10-24
Sources
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