> Historical reference for revision `cf22d043200e0173ee8939b3b211ed5ac815a12e`. Results and validation below apply to the artifact digests recorded in that release, rather than the replacement weights.

# Optimized Paddle throughput

This timing covers 2,078 unique ParseBench pages on one H100, with zero failed
pages, at 3.088853185201328 pages/s. Four native Paddle pipeline instances share
one vLLM server. Detection, crop recognition, assembly, and markdown conversion
are timed; startup, image preload, and 16 warmups are excluded.

The context remains 16,384 tokens and the output cap remains 8,192 tokens.
The 4,096-token variants are excluded. See `serving_contract.json` and
`benchmark_metrics.json`; predictions are compressed in `predictions.jsonl.gz`.

Model-card accuracy uses the unchanged official published PaddleOCR-VL 1.6
results: overall 67.43, tables 67.77, charts 54.24, content 82.71, formatting
54.64, and Visual Grounding 77.80. These published accuracy scores are separate
from the local timing measurement.