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Can the Mac 32 GB run MiniMax H3 Pruned?

Not at full quality. The 16-bit and 8-bit files are too big for the Mac 32 GB; the largest that fits is Q6_K (16.7 GB).

Video model · pruned 33B32 GB unified · ~26.8 GB for the GPU · 120–400 GB/s · Apple SiliconData 2026-10-01
Runs
Yes, with a compressed file.

Take Q6_K (16.7 GB). In use it comes to about 22.5 GB, with 4.3 GB left over on 26.8 GB. Quality: very close to the original. For better quality, Q8_0 (21.6 GB) also runs, with about 0.6 GB spilling into system RAM - a little slower, still practical.

Best fileQ6_K
File size16.7 GB
GPU memory needed~22.5 GB
Shared memory80 / 32 GB
Memory map · Mac 32 GB22.5 GB / 26.8 GB
013 GB27 GB
Weights Q6_K · 16.7 GBWorking memory · 5.0 GBReserve · 0.8 GBFree · 4.3 GB

01What to download

PartFileFolderSize
ModelMiniMax-H3-FL2VA-Pruned-Q6_K.gguf
Q6_K · Abiray/MiniMax-H3-Pruned-GGUF
models/unet16.7 GBDownload →
Text encoderqwen3vl_32b_minimax_h3_bf16.safetensors
Qwen3-VL 32B BF16 · Comfy-Org/MiniMax-H3
models/text_encoders51.5 GBDownload →
VAEminimax_h3_video_vae_fp16.safetensors
MiniMax H3 video VAE FP16 · Comfy-Org/MiniMax-H3
models/vae5.2 GBDownload →
Also neededminimax_h3_audio_vae_fp32.safetensors
MiniMax H3 audio VAE FP32 · Comfy-Org/MiniMax-H3
models/vae0.6 GBDownload →
Total download · keep about the same free on disk74.0 GB

On a Mac, FP8 text encoders do not load, so a 16-bit one is listed. Sizes from Hugging Face, 2026-10-01.

Shared memory: about 80.0 GB of your 32 GB. On this machine the model, the text encoder, the VAE and the operating system all use the same memory. That is about 48.0 GB more than there is. It still runs: while the model works, the system compresses or swaps the idle text encoder, so loading and changing the prompt get slower. A smaller file or text encoder avoids that. calculated

02Every MiniMax H3 Pruned file on 26.8 GB

FileSizeNeededOn this cardQualityDownload
16-bit
SAFETENSORS · Comfy-Org
40.2 GB46.0 GB19.2 GB too bigthe original weightsHugging Face →
Q8_0
GGUF · Abiray
21.6 GB27.4 GBspills 0.6 GBpractically identical to the originalHugging Face →
Q6_K ←
GGUF · Abiray
16.7 GB22.5 GBfits · 4.3 GB sparevery close to the originalHugging Face →
Q5_K_M
GGUF · Abiray
14.1 GB19.9 GBfits · 6.9 GB spareclose; small differences in fine detailHugging Face →
Q4_K_M
GGUF · Abiray
11.6 GB17.4 GBfits · 9.4 GB sparegood; some loss in fine detail and textHugging Face →
Q3_K_M
GGUF · Abiray
8.9 GB14.7 GBfits · 12.1 GB sparenoticeable loss of detailHugging Face →

“Needed” adds 5 GB of working memory for MiniMax H3 Pruned and a 0.8 GB reserve. Sizes 2026-10-01. FP8 and INT8 files are left out on a Mac: Apple GPUs cannot compute FP8, so ComfyUI either fails to load them or converts them back to 16-bit, which saves no memory. Use a 16-bit or GGUF file.

03The text encoder

Take the smallest Qwen3-VL 32B file (15.7 GB): it is the only one that fits in 26.8 GB on its own. Sizes: 16-bit 51.5 GB, INT8 27.1 GB, NVFP4 15.7 GB. Why the encoder does not count against VRAM →

04Measured and reported results

Nobody has sent measured numbers for this pair yet. If you run MiniMax H3 Pruned on a Mac 32 GB, send your time per image and peak VRAM and it will appear here, credited.

05With more VRAM

With 32 GB you could run MiniMax H3 Pruned at 8-bit or better (Q8_0, 21.6 GB) with no offloading: for example on the RTX 5090 32 GB.

06About the Mac 32 GB

A Mac with 32 GB shares that memory between the CPU and the GPU. On current macOS the GPU may use about 26.8 GB of it by default (older macOS versions: about 22.9 GB); that is the figure used here. ComfyUI can go past it, but macOS then starts compressing and swapping memory and everything slows down. ComfyUI runs on Apple GPUs through PyTorch's MPS backend. 16-bit and GGUF files work; FP8 and INT8 files do not save memory on a Mac, so they are skipped. Speed is the catch: even the fastest Macs are several times slower per image than a desktop RTX card. Chips sold with 32 GB: M1 Pro, M1 Max, M2 Pro, M2 Max, M4, M5, M6 (memory bandwidth 120–400 GB/s - the higher, the faster). Everything about Macs and local AI →

32 GB unified · ~26.8 GB for the GPU · 120–400 GB/s · Apple Silicon. Everything that runs on it →

07Questions

How much VRAM does MiniMax H3 Pruned need?

Around 14.7 GB with the smallest file (Q3_K_M) and 26.8 GB with an 8-bit file (FP8). The full 16-bit file needs about 46.0 GB.

Which MiniMax H3 Pruned file should I download for the Mac 32 GB?

Q6_K (16.7 GB) from Abiray/MiniMax-H3-Pruned-GGUF. Load it with Unet Loader (GGUF) from the ComfyUI-GGUF node pack.

FP8 or Q8_0 for MiniMax H3 Pruned on the Mac 32 GB?

Q8_0 (21.6 GB). The Mac 32 GB has no FP8 maths, so FP8 (21.0 GB) only saves memory and is a step further from the original.

How much do I need to download for MiniMax H3 Pruned on the Mac 32 GB?

74.0 GB: MiniMax-H3-FL2VA-Pruned-Q6_K.gguf, qwen3vl_32b_minimax_h3_bf16.safetensors, minimax_h3_video_vae_fp16.safetensors, minimax_h3_audio_vae_fp32.safetensors.