H3-metal – Native MiniMax-H3 inference for Apple Silicon

swyx 172 points 19 comments August 11, 2026
github.com · View on Hacker News

Discussion Highlights (6 comments)

TechSquidTV

This still requires 128Gb of memory, right? Me and my lowly 96Gb, like a commoner; missing out on the fun.

abhinai

How similar are Jeff Dean and Salvatore Sanfilippo?

Meleagris

I've been using MiniMax H3 on my M5 Pro 64GB MacBook Pro through ComfyUI. It works extremely well. I had to modify the default ComfyUI workflows to use a GGUF quant (city96's ComfyUI-GGUF custom node, UnetLoaderGGUF in place of the stock loader) [0]. I use the model labeled Q5_K_M. There is Q8_0 available as well, which is 34GB and fits fine in 64GB unified memory if you keep resolution modest. The main issue is speed, a ~9-second 480x864 clip at 20 steps takes me a bit over an hour. So this will be cool to try for the speed up alone. There's a lot of great information and workflows available to follow on the r/StableDiffusion subreddit. [0] https://huggingface.co/Abiray/MiniMax-H3-GGUF/tree/main/unet

c0rruptbytes

wow antirez does not sleep

diddid

This is where the DGX spark makes up a bit of the ground it loses on llm work, diffusion and cuda go together like peanut butter and jelly.

tipiirai

I'd love to know what the alternatives are and how this is better

Semantic search powered by Rivestack pgvector
4,128 stories · 37,281 chunks indexed