---
license: other
license_name: minimax-h3-community-license-agreement
license_link: https://huggingface.co/MiniMaxAI/MiniMax-H3/blob/main/LICENSE
base_model: FastVideo/FastVideo-FastH3-Omni-8-Step-V1
tags: [mlx, apple-silicon, fastvideo, minimax-h3, fasth3-omni, benchmark]
---

# FastH3 Omni on Apple Silicon (MLX) — build + benchmark kit

FastH3 Omni (reference-conditioned video + audio) runs natively on Apple Silicon through FastVideo's MLX runtime
([hao-ai-lab/FastVideo#2000](https://github.com/hao-ai-lab/FastVideo/pull/2000)).

This repository holds the kit, not the weights:

- `bench/prepare_model_dir.sh` builds the MLX model directory from the public releases
  (`FastVideo/FastVideo-FastH3-Omni-8-Step-V1`, `FastVideo/FastH3-Omni-NVFP4-QAD`, `FastVideo/FastH3-NVFP4-VAE-Decoder`,
  `lightx2v/LightVAE`) at pinned revisions: INT6 (default), INT8 or BF16 transformer, NVFP4 text-encoder cache,
  FastH3 36L/8L decoders and the LightVAE Lite H3 reference encoder. It verifies every file against SHA-256.
- `bench/run_matrix.py` runs the FastH3 Omni reference workloads and writes a latency table. See `bench/README.md`.

Licenses: MiniMax-H3 Community License for the model weights; Qwen3-VL and LightVAE are Apache-2.0 (see `bench/licenses/`).