Instructions to use FastVideo/FastVideo-FastH3-4-step-Preview-v1-Dense-DataFree-MLX-INT4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use FastVideo/FastVideo-FastH3-4-step-Preview-v1-Dense-DataFree-MLX-INT4 with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] huggingface-cli download --local-dir FastVideo-FastH3-4-step-Preview-v1-Dense-DataFree-MLX-INT4 FastVideo/FastVideo-FastH3-4-step-Preview-v1-Dense-DataFree-MLX-INT4
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
- Atomic Chat
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| "attention_head_dim": 128, | |
| "hidden_size": 5376, | |
| "num_layers": 50, | |
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| "ffn_dim": 14336, | |
| "in_channels": 24, | |
| "audio_in_channels": 32, | |
| "patch_size": [ | |
| 1, | |
| 2, | |
| 2 | |
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| "time_embed_dim": 2688, | |
| "rope_freq_dim": 16, | |
| "rope_theta": 10000.0, | |
| "norm_eps": 1e-05, | |
| "qk_norm_eps": 1e-05, | |
| "final_norm_eps": 1e-05 | |
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| "blocks.48.attn.to_v.weight": { | |
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| "dequantized_dtype": "bf16", | |
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| }, | |
| "refiner.0.attn.to_q.weight": { | |
| "dequantized_dtype": "bf16", | |
| "has_biases": true | |
| }, | |
| "refiner.0.ff.net.0.proj.weight": { | |
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| "refiner.0.attn.to_v.weight": { | |
| "dequantized_dtype": "bf16", | |
| "has_biases": true | |
| }, | |
| "refiner.1.ff.net.2.weight": { | |
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| "refiner.1.attn.to_k.weight": { | |
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| }, | |
| "refiner.1.ff.net.0.proj.weight": { | |
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| } | |
| }, | |
| "adaln_cache": { | |
| "timesteps": [ | |
| 0.0, | |
| 0.027027010917663574, | |
| 0.07692307233810425, | |
| 0.10000002384185791, | |
| 0.19999998807907104, | |
| 0.25, | |
| 0.5, | |
| 1.0 | |
| ], | |
| "num_blocks": 50, | |
| "tables_per_block": 6 | |
| }, | |
| "vsa": { | |
| "capable": false, | |
| "num_gate_matrices": 0, | |
| "gate_key_suffix": "attn.to_gate_compress.weight", | |
| "attention_activations": "bf16", | |
| "note": "Gate projections are quantized with the checkpoint's affine INT8/INT6/INT4 weight-only grid. VSA attention Q/K/V remain unquantized activations." | |
| } | |
| } |