MAGI-1-24B-distill-quant

The FP8-quantized, distilled 24B variant of MAGI-1, packaged with the T5-v1.1-XXL text encoder and VAE it needs to run.

MAGI-1 is an autoregressive video model: it generates a video chunk by chunk, which lets it stream output and extend a clip indefinitely rather than committing to a fixed frame count up front.

Layout

24B_distill_quant/inference_weight.fp8.distill/   fp8 transformer, 3 shards
t5_pretrained/t5-v1_1-xxl/                        text encoder
vae/                                              MAGI-1 ViT VAE

Usage

These are raw checkpoint files for the reference implementation at sand-ai/MAGI-1, not a diffusers pipeline. Point the repo's inference config at the directories above:

huggingface-cli download wavespeed/MAGI-1-24B-distill-quant --local-dir ./MAGI-1

then set load to ./MAGI-1/24B_distill_quant/inference_weight.fp8.distill, t5_pretrained to ./MAGI-1/t5_pretrained/t5-v1_1-xxl and vae_pretrained to ./MAGI-1/vae in the runtime config.

The distill weights are the few-step distilled variant — use the step count the upstream distill config specifies, not the base model's.

License

Apache-2.0, inherited from MAGI-1.

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Base model

sand-ai/MAGI-1

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Quantized weights we publish

Collection

FP8, INT8, NF4 and precision-cast variants of open models. Each card says exactly which tensors changed and which were left alone. • 16 items • Updated 3 days ago