H3-metal – Native MiniMax-H3 inference for Apple Silicon
swyx
172 points
19 comments
August 11, 2026
Related Discussions
Found 5 related stories in 43.1ms across 4,128 title embeddings via pgvector HNSW
- Show HN: Qwen Scribe – local transcription and dictation for Apple Silicon sidclaw · 79 pts · July 29, 2026 · 54% similar
- LFM2.5-DSpark: Up to 3.2x Faster Inference from H100 to MacB Alephinitesimal · 15 pts · August 21, 2026 · 53% similar
- Apple Silicon and macOS VMs: Faster LLM Inference with llama.cpp frabonacci · 289 pts · August 11, 2026 · 52% similar
- Automatic1111 for Apple metal, 40% speed up sd1.5 dmikey831 · 65 pts · August 12, 2026 · 50% similar
- We Rebuilt the Linux MicroVM Stack on Apple Silicon signa11 · 143 pts · August 21, 2026 · 50% similar
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