file	what
`high_noise_model.safetensors`	high-noise expert DiT (~28.6 GB)
`low_noise_model.safetensors`	low-noise expert DiT (~28.6 GB)
`t5_encoder.safetensors`	UMT5-XXL text encoder (~11.4 GB)
`vae.safetensors`	Wan z16 VAE
`tokenizer.json`	UMT5 tokenizer
`config.json`	architecture config

Quantization (Q4/Q8) is applied at load by the engine — these weights are full bf16.

Provenance

Source: Wan-AI/Wan2.2-T2V-A14B (Apache-2.0).
Converted with: the SceneWorks native Rust MLX converter (mlx-gen-wan, converter id wan_t2v_14b), dtype bfloat16, dense (no baked-in quant).
Lean snapshot — only the files the MLX engine loads.

License

Apache-2.0, inherited from the upstream model. This repository redistributes a converted copy of the upstream Apache-2.0 weights, with attribution, as permitted by that license. See the source model card.

SceneWorks/wan2.2-t2v-a14b-mlx

Wan2.2-T2V-A14B — MLX (bf16)

Contents (self-contained, bf16)

Provenance

License

SceneWorks/
wan2.2-t2v-a14b-mlx