# PipeNetwork/minimax-h3-mlx

> Source: <https://simonwillison.net/2026/Aug/4/minimax-h3-mlx/#atom-everything>
> Published: 2026-08-04 19:10:09+00:00

This Python package ports it to MLX for running on Apple Silicon.

I got it running on my M5 Max MacBook Pro. I cloned the repo and ran the model like this:

```
# First download the models
uvx --from huggingface_hub hf download MiniMaxAI/MiniMax-H3 \
  --include 'FL2VA/*' --exclude 'FL2VA/transformer/*'
uvx --from huggingface_hub hf download pipenetwork/MiniMax-H3-MLX-8bit

# Now run the prompt
uv run --with mlx-vlm \
  --with-requirements requirements.txt python scripts/generate.py \
  "a rainbow colored skunk leaps over a mossy log in a supermarket" \
  -o skunk.mp4 \
  -c ~/.cache/huggingface/hub/models--MiniMaxAI--MiniMax-H3/snapshots/fa9c8ab1eaa21c8ae25e7e40b83b2e6002f340af/FL2VA \
  -t ~/.cache/huggingface/hub/models--pipenetwork--MiniMax-H3-MLX-8bit/snapshots/3ac52081470b0488921c3ec3ba84a39097bf2361
```

Here's the video I got for the prompt:

`a rainbow colored skunk leaps over a mossy log in a supermarket`

It downloaded ~115 GB of model files, and the video generation took just under 45 minutes.

The video is impressive, but the audio is weird speech-like garbage, because I didn't provide any prompt guidance as to what the audio should be. The [prompting guide](https://huggingface.co/MiniMaxAI/MiniMax-H3/blob/main/docs/VIDEO_PROMPT_WRITING_GUIDE_base_en.md) (which I didn't read prior to this experiment) has a whole bunch of information on how to get this to work.

Tags: [ai](https://simonwillison.net/tags/ai), [generative-ai](https://simonwillison.net/tags/generative-ai), [mlx](https://simonwillison.net/tags/mlx), [text-to-video](https://simonwillison.net/tags/text-to-video), [minimax](https://simonwillison.net/tags/minimax)