Document backend snapshot for sfp4 checkpoint-750
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README.md
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- `transformer/config.json`
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- `transformer/diffusion_pytorch_model.safetensors`
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Training run:
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This package does not include the distributed optimizer/training-state
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checkpoint. Use the original `distributed_checkpoint/` directory if exact
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training resume state is required.
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- `transformer/config.json`
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- `transformer/diffusion_pytorch_model.safetensors`
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- `backend_snapshot/`
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Training run:
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This package does not include the distributed optimizer/training-state
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checkpoint. Use the original `distributed_checkpoint/` directory if exact
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training resume state is required.
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`backend_snapshot/` contains the local FastVideo backend code used by this
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checkpoint, including `SPARSE_FP4_OURS_P_ATTN`, its Triton forward/backward
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kernel, FP4 quant helpers, VSA metadata helper, backend wiring, and the exact
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SFT launch scripts.
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