| { |
| "source_repo": "FastVideo/FastVideo-FastH3-Trim-8-Step", |
| "source_revision": "9edcb6511d5ff8dd1579e8eec8afee77e098b8d8", |
| "source_checks": [ |
| { |
| "file": "audio_vae/diffusion_pytorch_model.safetensors", |
| "sha256": "52c59e67ba8de5477c81bfbced0327aabf500f1bfdeefd5ee754529241cb26cb", |
| "released_sha256": "52c59e67ba8de5477c81bfbced0327aabf500f1bfdeefd5ee754529241cb26cb", |
| "equal": true |
| }, |
| { |
| "file": "fastvideo_inference.json", |
| "equal": true |
| }, |
| { |
| "file": "transformer/config.json", |
| "equal": true |
| }, |
| { |
| "file": "transformer/diffusion_pytorch_model-00001-of-00008.safetensors", |
| "sha256": "5cc09786e36031231b07d9976ec18dd0011e51ecf034ceaea4adb9174f035217", |
| "released_sha256": "5cc09786e36031231b07d9976ec18dd0011e51ecf034ceaea4adb9174f035217", |
| "equal": true |
| }, |
| { |
| "file": "transformer/diffusion_pytorch_model-00002-of-00008.safetensors", |
| "sha256": "133c044a3c8b7341284e952b43db2ab6585d803e0e18520c1b56e0ce8974bde3", |
| "released_sha256": "133c044a3c8b7341284e952b43db2ab6585d803e0e18520c1b56e0ce8974bde3", |
| "equal": true |
| }, |
| { |
| "file": "transformer/diffusion_pytorch_model-00003-of-00008.safetensors", |
| "sha256": "d2d8507e473eb350ac92606fd8202550d871f30e855d728c8efa203d2019d919", |
| "released_sha256": "d2d8507e473eb350ac92606fd8202550d871f30e855d728c8efa203d2019d919", |
| "equal": true |
| }, |
| { |
| "file": "transformer/diffusion_pytorch_model-00004-of-00008.safetensors", |
| "sha256": "6e55b26defc637f6b4271916912e6a7c0adaea260b96372f0ebce7668b11f3ba", |
| "released_sha256": "6e55b26defc637f6b4271916912e6a7c0adaea260b96372f0ebce7668b11f3ba", |
| "equal": true |
| }, |
| { |
| "file": "transformer/diffusion_pytorch_model-00005-of-00008.safetensors", |
| "sha256": "85d47855214ab9273eefced40142fb45832f620395bc6a73ddab8c884db625b2", |
| "released_sha256": "85d47855214ab9273eefced40142fb45832f620395bc6a73ddab8c884db625b2", |
| "equal": true |
| }, |
| { |
| "file": "transformer/diffusion_pytorch_model-00006-of-00008.safetensors", |
| "sha256": "3de5ca9bc4004d8c1db500c624a3ba9ff8d90c61a7cf8b6c4fb8d1bc27bb4d0c", |
| "released_sha256": "3de5ca9bc4004d8c1db500c624a3ba9ff8d90c61a7cf8b6c4fb8d1bc27bb4d0c", |
| "equal": true |
| }, |
| { |
| "file": "transformer/diffusion_pytorch_model-00007-of-00008.safetensors", |
| "sha256": "176f1d7dcb9c2596281a1f07cd419fe28be53901b347519bf5012b8797bc0a2d", |
| "released_sha256": "176f1d7dcb9c2596281a1f07cd419fe28be53901b347519bf5012b8797bc0a2d", |
| "equal": true |
| }, |
| { |
| "file": "transformer/diffusion_pytorch_model-00008-of-00008.safetensors", |
| "sha256": "92a0b0400b37b961f40ad68936552e809af92410453be8cf001db7a19b61882d", |
| "released_sha256": "92a0b0400b37b961f40ad68936552e809af92410453be8cf001db7a19b61882d", |
| "equal": true |
| }, |
| { |
| "file": "transformer/diffusion_pytorch_model.safetensors.index.json", |
| "equal": true |
| }, |
| { |
| "file": "vae/config.json", |
| "equal": true |
| }, |
| { |
| "file": "vae/diffusion_pytorch_model.safetensors", |
| "sha256": "73fc5a61caeba438633eb8f8efd3a57f4915adfa46731a1c991312c724a3b5cc", |
| "released_sha256": "73fc5a61caeba438633eb8f8efd3a57f4915adfa46731a1c991312c724a3b5cc", |
| "equal": true |
| } |
| ], |
| "converted_from": "BF16", |
| "quantization": "MLX affine INT6 with VSA gates and AdaLN timestep cache", |
| "code_commit": "6ccdbc761e6b854003f472e39b826c06cb54de60", |
| "placement": "phased on M4 Max 36 GiB", |
| "attention": "reference", |
| "encoder_source_checks": [ |
| { |
| "file": "text_encoder/model-00001-of-00004.safetensors", |
| "sha256": "969e7d251a873d16d3f487d9a5e82f8901132cfac9344530aa4e25ba9338e9e7", |
| "released_sha256": "969e7d251a873d16d3f487d9a5e82f8901132cfac9344530aa4e25ba9338e9e7", |
| "equal": true |
| }, |
| { |
| "file": "text_encoder/model-00002-of-00004.safetensors", |
| "sha256": "ff092cd64c489ce4609a08ba5d9f8548591bf835cd98fa4154a7eccd0ea16dfd", |
| "released_sha256": "ff092cd64c489ce4609a08ba5d9f8548591bf835cd98fa4154a7eccd0ea16dfd", |
| "equal": true |
| }, |
| { |
| "file": "text_encoder/model-00003-of-00004.safetensors", |
| "sha256": "3dab4af0342cfc9b31839458d059327c7cd1e5be1fe779ded253939cabb36a51", |
| "released_sha256": "3dab4af0342cfc9b31839458d059327c7cd1e5be1fe779ded253939cabb36a51", |
| "equal": true |
| }, |
| { |
| "file": "text_encoder/model-00004-of-00004.safetensors", |
| "sha256": "628852eb94bd2e3c297d120683f900b49051f236e2cd9d1f26476c30cedc2add", |
| "released_sha256": "628852eb94bd2e3c297d120683f900b49051f236e2cd9d1f26476c30cedc2add", |
| "equal": true |
| } |
| ], |
| "encoder_cache_note": "Native layout conversion without requantization; first50 transformer layers read by H3 retained; exact conditioning compared with raw encoder in prior controls" |
| } |
|
|
