FastH3 Preview v1 Dense DataFree MLX INT6

This repository contains the ready-to-run INT6 MLX DiT for FastVideo/FastVideo-FastH3-4-step-Preview-v1-Dense-DataFree. It avoids the local conversion step and its temporary unified-memory requirement on Apple silicon.

The checkpoint is the dense-attention, step-1000, four-forward Preview v1 model. Quantization is affine, weight-only INT6 with group size 64. Activations remain BF16. This export is dense-only and does not support --vsa.

Files

File Purpose
mlx_h3_dit.safetensors Quantized H3 DiT weights, 15.41 GiB
mlx_h3_dit.json Architecture, quantization, and cached AdaLN schedule
conversion_manifest.json Source revision, converter version, validation, and checksums

Weights SHA-256: fc585db6855f1209c288a9b593e617ec6ae9eecc7fde521abb622e244c742681

Download

Download the shared H3 components once. They include the tokenizer, Qwen3-VL text encoder, video VAE, and audio VAE:

hf download FastVideo/FastVideo-FastH3-4-step-Preview-v1-Dense-DataFree \
  --revision f624f08c6c279ab43534c003e556fc5b295b6558 \
  --local-dir ./FastH3-Preview-v1-Dense-DataFree

Then download this ready-to-run MLX DiT:

hf download FastVideo/FastVideo-FastH3-4-step-Preview-v1-Dense-DataFree-MLX-INT6 \
  --local-dir ./FastH3-MLX-INT6

Run on Apple silicon

From a current FastVideo checkout:

uv venv --python 3.12 --seed
source .venv/bin/activate
uv pip install -e ".[mlx]"
python examples/inference/basic/mlx_fasth3.py \
  --model-root ./FastH3-Preview-v1-Dense-DataFree \
  --mlx-checkpoint ./FastH3-MLX-INT6 \
  --prompt '(S1) A presenter says <d>[English] Fast H3 runs on Apple silicon.</d>' \
  --height 480 --width 832 --num-frames 124 --steps 4 --seed 2026 \
  --output-path ./outputs/fasth3_int6.mp4

The MLX runtime loads one heavyweight component at a time. The source model's MiniMax H3 Community License applies to this converted checkpoint.

Validation and provenance

The conversion used FastVideo commit cf6a00b9be4675602126d6aeab902ad9a74810ea with MLX 0.32.2 on an Apple M4 Max. FastVideo verified all 13 source transformer shards, opened the safetensors header, validated 1,464 tensors and the quantization manifest, loaded the checkpoint, and completed a 124-frame 832x480 generation with the full H3 VAE.

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