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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 layersactivations_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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