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FLUX.1-schnell activation & weight dump (public)

Benchmark tensors for the W4A4 Quantized GEMM CUDA Challenge. Download these, drop them in flux_dump/, and ./benchmark.sh will run correctness + TOPs measurement against them.

Extracted from FLUX.1-schnell at 1024×1024, seed 0, 4 inference steps, prompt "A cat holding a sign that says hello world".

Files

  • weights.pt{layer_name: [N, K] fp16} for the 4 target layers
  • activations_1024x1024.pt{layer_name: [M, K] fp16} input activations captured on the first forward pre-hook fire

Target GEMM shapes

layer M N K
attn_to_qkv 4096 9216 3072
attn_to_out 4096 3072 3072
ff_up 4096 12288 3072
ff_down 4096 3072 12288

Usage

from huggingface_hub import snapshot_download
snapshot_download(
    repo_id="samuelt0207/cuda-challenge-flux-dump",
    repo_type="dataset",
    local_dir="flux_dump",
)

Or use download_data.py in the challenge repo. See dump_data.py for the full generation procedure.

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