bnn-lab .bnnpack canaries
Collection
Tiny bnn-lab .bnnpack canaries (not SOTA). 32x is uint64 pack, not GPU from sign(). • 3 items • Updated
bnn-lab codec .bnnpack (canary)
Canary / lab demo — not ImageNet SOTA. One random 256×256 Linear encoded
to .bnnpack v2 so strangers can download a noun (the format), round-trip
decode, and check GEMM err = 0.
Equivalent local command:
bnn encode --source random --in-features 256 --out-features 256 --out results/codec_canary.bnnpack
bnn decode --pack results/codec_canary.bnnpack
What 32× means
32× is exact uint64 pack compression when in_features % 64 == 0
(256/64 = 4 words). Not a GPU claim from sign(). Native XNOR GEMM err = 0
when the platform DLL/so is present; NumPy packed path is also err = 0
(tests/golden_floors.json: native_err_max 0.0, compression_exact_when_uint64_pack 32.0).
Load
from huggingface_hub import hf_hub_download
from bnn.codec import decode_file, packed_module_fp_err
path = hf_hub_download("KanakMalpani/bnn-lab-codec-canary", filename="model.bnnpack")
modules, meta = decode_file(path)
mod = modules["linear"]
assert packed_module_fp_err(mod) == 0.0
print(meta, mod.in_features, mod.out_features)
License
MIT (same as bnn-lab).
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