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Can the Mac 64 GB run MiniMax H3 (33B)?

Yes. Q8_0 fits on the Mac 64 GB with 13.9 GB to spare.

Video model · 33.1B64 GB unified · ~55.7 GB for the GPU · 273–800 GB/s · Apple SiliconData 2026-10-01
Runs well
Yes, with room to spare.

Q8_0 (36.0 GB) needs about 41.8 GB in use, so 13.9 GB of the 55.7 GB stays free: room for a larger image, a LoRA or a ControlNet.

Best fileQ8_0
File size36.0 GB
GPU memory needed~41.8 GB
Shared memory99 / 64 GB
Memory map · Mac 64 GB41.8 GB / 55.7 GB
028 GB56 GB
Weights Q8_0 · 36.0 GBWorking memory · 5.0 GBReserve · 0.8 GBFree · 13.9 GB

01What to download

PartFileFolderSize
ModelMiniMax-H3-FL2VA-Q8_0.gguf
Q8_0 · Abiray/MiniMax-H3-GGUF
models/unet36.0 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 disk93.4 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 99.4 GB of your 64 GB. On this machine the model, the text encoder, the VAE and the operating system all use the same memory. That is about 35.4 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 file on 55.7 GB

FileSizeNeededOn this cardQualityDownload
16-bit
SAFETENSORS · Comfy-Org
66.3 GB72.1 GB16.4 GB too bigthe original weightsHugging Face →
Q8_0 ←
GGUF · Abiray
36.0 GB41.8 GBfits · 13.9 GB sparepractically identical to the originalHugging Face →
Q6_K
GGUF · Abiray
28.2 GB34.0 GBfits · 21.7 GB sparevery close to the originalHugging Face →
Q5_K_M
GGUF · Abiray
23.9 GB29.7 GBfits · 26.0 GB spareclose; small differences in fine detailHugging Face →
Q4_K_M
GGUF · Abiray
19.9 GB25.7 GBfits · 30.0 GB sparegood; some loss in fine detail and textHugging Face →
Q3_K_M
GGUF · Abiray
15.6 GB21.4 GBfits · 34.3 GB sparenoticeable loss of detailHugging Face →

“Needed” adds 5 GB of working memory for MiniMax H3 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.

03Measured and reported results

Nobody has sent measured numbers for this pair yet. If you run MiniMax H3 on a Mac 64 GB, send your time per image and peak VRAM and it will appear here, credited.

04About the Mac 64 GB

A Mac with 64 GB shares that memory between the CPU and the GPU. On current macOS the GPU may use about 55.7 GB of it by default (older macOS versions: about 51.5 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 64 GB: M1 Max, M1 Ultra, M2 Max, M2 Ultra, M3 Max, M4 Pro, M4 Max, M5 Pro, M5 Max (memory bandwidth 273–800 GB/s - the higher, the faster). Everything about Macs and local AI →

64 GB unified · ~55.7 GB for the GPU · 273–800 GB/s · Apple Silicon. Everything that runs on it →

05Questions

How much VRAM does MiniMax H3 need?

Around 21.4 GB with the smallest file (Q3_K_M) and 39.8 GB with an 8-bit file (INT8). The full 16-bit file needs about 72.1 GB.

Which MiniMax H3 file should I download for the Mac 64 GB?

Q8_0 (36.0 GB) from Abiray/MiniMax-H3-GGUF. Load it with Unet Loader (GGUF) from the ComfyUI-GGUF node pack.

How much do I need to download for MiniMax H3 on the Mac 64 GB?

93.4 GB: MiniMax-H3-FL2VA-Q8_0.gguf, qwen3vl_32b_minimax_h3_bf16.safetensors, minimax_h3_video_vae_fp16.safetensors, minimax_h3_audio_vae_fp32.safetensors.