Instructions to use Sawfwair/MiniMax-H3-FastH3-VSA-DataFree-MLX-BF16 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use Sawfwair/MiniMax-H3-FastH3-VSA-DataFree-MLX-BF16 with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] huggingface-cli download --local-dir MiniMax-H3-FastH3-VSA-DataFree-MLX-BF16 Sawfwair/MiniMax-H3-FastH3-VSA-DataFree-MLX-BF16
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
- Atomic Chat
MiniMax-H3 FastH3 VSA DataFree MLX BF16
This repository is a self-contained inference package for FastVideo's FastH3
4-step VSA DataFree release on Apple Silicon. It combines the compact
MiniMax-H3 FL2VA BF16 runtime package, the pinned FastH3 student adapter, its
source-bound AdaLN cache, and the files needed to generate synchronized video
and audio with mere.run.
The managed runtime payload is 82.32 GB (82,316,599,044 bytes). It is smaller than the approximately 148 GB upstream checkpoint because it uses inference-only representations:
- The active 50-layer H3 denoising core remains BF16.
- The 50-layer Qwen3-VL conditioner uses MLX affine Q8/group-64. Unused language layers, the LM head, and the final language norm are omitted.
- The video VAE uses FP16. The audio VAE remains FP32 with weight normalization folded into equivalent convolution weights.
- Source-bound inference tables replace the 13B schedule-only AdaLN parameters.
- The FastH3 adapter and its exact four-evaluation AdaLN table are included.
These omissions do not require another download for the supported FastH3 text-to-video workflow. This repository is not a byte-for-byte mirror of the upstream training or Diffusers layout and is not intended for training, arbitrary schedules, or use as a standalone complete Qwen language model.
Use with mere.run
Use a mere.run build that lists
video-minimax-h3-fasth3-vsa-datafree-mlx in mere.run model list.
mere.run model pull video-minimax-h3-fasth3-vsa-datafree-mlx \
--accept-model-license
mere.run video generate \
"A lighthouse in a winter storm, waves striking the rocks, synchronized wind and surf" \
--model video-minimax-h3-fasth3-vsa-datafree-mlx \
--output lighthouse.mp4
After the model pull completes, generation is offline and doesn't fetch a
separate base model, text encoder, adapter, VAE, tokenizer, or cache. FastH3
uses four denoising evaluations at released base sigma points 0.999, 0.749,
0.5, and 0.25, followed by the clean endpoint. The runtime fixes adapter
strength at 1.0 and uses the released text-only VSA-H3 recipe.
The minimum supported frame count is 22. Frame counts follow 17*n+5, and
width and height must be multiples of 32. MiniMax-H3 emits 24 fps video with
32 kHz stereo audio.
Package contents
| Component | Representation | Bytes |
|---|---|---|
| H3 transformer | compact BF16 | 40,138,395,701 |
| Qwen3-VL conditioner | MLX affine Q8/group-64 | 28,222,740,739 |
| Video VAE | FP16 | 5,207,806,574 |
| Audio VAE | FP32, folded weight norm | 605,253,470 |
| FastH3 adapter | rank-64 LoRA, direct differences, VSA gates | 5,339,117,712 |
| FastH3 AdaLN cache | source-bound four-evaluation table | 116,449,540 |
The repository also contains the tokenizer, base production cache pack, configuration, license, notices, modification disclosure, manifests, conversion receipts, and SHA-256 inventory.
Sources and provenance
- Base model:
MiniMaxAI/MiniMax-H3atec19cc6daf5d8add9417c18e86b6b58cc6c55027. - Compact BF16 base:
Sawfwair/MiniMax-H3-FL2VA-MLX-BF16at6f2c1edb4d31d9110d4a51457ba1d6401a05dfd0. - FastH3 student transformer:
FastVideo/FastVideo-FastH3-4-step-Preview-v1-VSA-DataFreeatb65818d41939b5085451074fe8ca8b799f8d4921. - FastH3 VSA DataFree adapter:
FastVideo/FastVideo-FastH3-4-step-Preview-v1-LoRAatbcf40ca6f457ed66f8badf13514943e390205fca. - FastVideo reference code:
hao-ai-lab/FastVideoat48a047c05ff4138f20cfa33351499c6ec5945f5d.
SOURCE_MANIFEST.json and transformer.conversion.json describe the compact
base. FASTH3_SOURCE_MANIFEST.json and FASTH3_CONVERSION.json describe the
student adapter and AdaLN sidecar. SHA256SUMS covers every runtime and
provenance file in this package.
Qualification
On August 29, 2026, the package completed a 384 by 256 pixel, 22-frame
generation on an Apple M4 Max with 128 GB unified memory. The command used the
managed model ID without an adapter argument. End-to-end wall time was 96.37
seconds; the first denoising evaluation, including Metal compilation, took
43.511 seconds, and the next three took 3.104, 3.099, and 3.121 seconds. MLX
reported a 42.15 GiB peak, and /usr/bin/time -l reported a 56,740,766,160-byte
peak process footprint and 0 process swaps. The host already had system-wide
swap, so this does not establish a no-swap system result.
The resulting 0.917-second MP4 contains 22 H.264 frames at 384 by 256 and 24
fps plus 32 kHz stereo AAC audio. Its SHA-256 is
e3a86b5a18a94944620dbb3b40bad7cac3689935907c5bf48f8bee181899aabc.
This is bounded runtime qualification, not a general quality claim or proof of equivalence to the full upstream checkpoint.
License and territorial restriction
The model weights are governed by the MiniMax-H3 Community License in
LICENSE, not by the mere.run source-code license. At the pinned source
revision, the license excludes use, distribution, and display in the United
States, European Union, United Kingdom, and Republic of Korea. It also imposes
notice, modification-disclosure, attribution, safeguard, and downstream
distribution obligations.
This repository is public and ungated, matching the official
MiniMaxAI/MiniMax-H3 repository's access posture. Public access does not waive
or replace the license. You are responsible for determining whether you may
download, use, or redistribute these files and for passing the license and
required notices to downstream recipients.
See NOTICE, MODIFICATIONS.md, and the complete LICENSE before download or
use.
Limitations
- Supports text-only FastH3 FL2VA generation. It does not support Ref2VA, keyframes, continuation, or arbitrary H3 adapters in this managed profile.
- The VSA path keeps every prefix key tile and the highest-scoring 10% of video key tiles for each video query tile. Prefix queries remain dense.
- The package is designed for Apple Silicon with 128 GB unified memory. Smaller systems are not qualified.
- Outputs can contain artifacts, unsafe content, or inaccurate representations. Review generated media before use or publication.
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