FastH3 Omni
Collection
8 items โข Updated โข 24
How to use FastVideo/FastH3-Omni-MLX with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] hf download FastVideo/FastH3-Omni-MLX --local-dir FastH3-Omni-MLX
FastH3 Omni (reference-conditioned video + audio) runs natively on Apple Silicon through FastVideo's MLX runtime (hao-ai-lab/FastVideo#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/).
Base model
MiniMaxAI/MiniMax-H3