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Download rep_G2b.md from InteleionAI/Strat: direct link, hf CLI and curl.
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https://huggingface.co/InteleionAI/Strat/resolve/main/rep_G2b.md
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hf download hf://InteleionAI/Strat/rep_G2b.md
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curl -L -o rep_G2b.md https://huggingface.co/InteleionAI/Strat/resolve/main/rep_G2b.md
921 Bytes
| Metric | Value |
|---|---|
| Test set | Banking77 official test split, 3080 queries, all answered (coverage 100.0%) |
| Accuracy | 94.55% (Wilson 95% interval 93.69-95.29) |
| Mean latency | 1.42 ms (per-pass means 1.40-1.44, 5 passes) |
| p50 / p95 / p99 | 0.25 / 6.26 / 10.41 ms |
| Tier 1 (tf-idf) | 77.3% of queries, mean 0.25 ms |
| Tier 2 (int8 MiniLM-L6 + kNN) | 22.7% of queries, mean 5.41 ms |
| Hardware | Intel(R) Xeon(R) CPU @ 2.00GHz, 4 logical CPUs visible, 1 thread used |
| Software | Python 3.13.15, onnxruntime 1.31.1, numpy 2.1.3 |
| Package | 51 MB, loads in 0.2 s |
Latency is wall-clock per single query (tokenizer, tf-idf, gate, ONNX int8 student, kNN, label lookup), one query at a time, 1 thread, warm process, GC paused in the timed loop; 5 passes over the test set in different random orders. Excludes process start-up. Shared cloud CPUs vary by session; compare runs from the same session.