Check my GPU →

Can the Mac 16 GB run MiniMax H3 Pruned?

Not entirely. Even Q4_K_M is 4.7 GB over 12.7 GB, so ComfyUI keeps part of it in system RAM.

Video model · pruned 33B16 GB unified · ~12.7 GB for the GPU · 68.25–200 GB/s · Apple SiliconData 2026-10-01
Offload
Not entirely in VRAM, but it can still run.

The smallest sensible file, Q4_K_M (11.6 GB), needs about 17.4 GB - 4.7 GB more than Mac 16 GB has. ComfyUI can still run it by streaming part of the model from system RAM. How much slower that is depends on your ComfyUI version, the file format and the PCIe link - see the note below.

Best fileQ4_K_M
File size11.6 GB
GPU memory needed~17.4 GB
Shared memory75 / 16 GB
Memory map · Mac 16 GB17.4 GB needed · 4.7 GB over 12.7 GB
09 GB17 GB
Weights Q4_K_M · 11.6 GBWorking memory · 5.0 GBReserve · 0.8 GBSpills to system RAM · 4.7 GB

01With 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.

02Every MiniMax H3 Pruned file on 12.7 GB

FileSizeNeededOn this cardQualityDownload
16-bit
SAFETENSORS · Comfy-Org
40.2 GB46.0 GB33.3 GB too bigthe original weightsHugging Face →
Q8_0
GGUF · Abiray
21.6 GB27.4 GB14.7 GB too bigpractically identical to the originalHugging Face →
Q6_K
GGUF · Abiray
16.7 GB22.5 GB9.8 GB too bigvery close to the originalHugging Face →
Q5_K_M
GGUF · Abiray
14.1 GB19.9 GB7.2 GB too bigclose; small differences in fine detailHugging Face →
Q4_K_M ←
GGUF · Abiray
11.6 GB17.4 GB4.7 GB too biggood; some loss in fine detail and textHugging Face →
Q3_K_M
GGUF · Abiray
8.9 GB14.7 GB2.0 GB too bignoticeable 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.

03What to download

PartFileFolderSize
ModelMiniMax-H3-FL2VA-Pruned-Q4_K_M.gguf
Q4_K_M · Abiray/MiniMax-H3-Pruned-GGUF
models/unet11.6 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 disk68.9 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 74.9 GB of your 16 GB. On this machine the model, the text encoder, the VAE and the operating system all use the same memory. That is about 58.9 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

04The text encoder

At 15.7 GB even the smallest Qwen3-VL 32B file is too big for 12.7 GB, so it runs from system RAM. That slows down reading the prompt, not the picture. Sizes: 16-bit 51.5 GB, INT8 27.1 GB, NVFP4 15.7 GB. Why the encoder does not count against VRAM →

05Measured and reported results

Nobody has sent measured numbers for this pair yet. If you run MiniMax H3 Pruned on a Mac 16 GB, send your time per image and peak VRAM and it will appear here, credited.

06About the Mac 16 GB

A Mac with 16 GB shares that memory between the CPU and the GPU. On current macOS the GPU may use about 12.7 GB of it by default (older macOS versions: about 11.5 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 16 GB: M1, M1 Pro, M2, M2 Pro, M3, M4, M5, M6 (memory bandwidth 68.25–200 GB/s - the higher, the faster). Everything about Macs and local AI →

16 GB unified · ~12.7 GB for the GPU · 68.25–200 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 16 GB?

Q4_K_M (11.6 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 16 GB?

Q8_0 (21.6 GB). The Mac 16 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 16 GB?

68.9 GB: MiniMax-H3-FL2VA-Pruned-Q4_K_M.gguf, qwen3vl_32b_minimax_h3_bf16.safetensors, minimax_h3_video_vae_fp16.safetensors, minimax_h3_audio_vae_fp32.safetensors.