Unverified50% confidenceBenchmarkExact time
JetSpec++ achieves up to a 7.45x speedup in wall-clock time relative to autoregressive (AR) decoding.
1
Sources
50%
Confidence
Medium-term (~90 days)
Relevance
10/15/2026
First Seen
Valid until: 1/13/2027
Sources
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Related Claims
UnverifiedWhile accelerating, JetSpec++ fully preserves the output distribution of the target model, achieving lossless speculative decoding.65% similarUnverifiedRunning Layla on an ordinary i5 processor, a single question takes up to 416 milliseconds, and 50 concurrent questions freeze for 14.5 seconds, making the speed heavily dependent on local GPU compute.63% similarUnverifiedIn a pure-CPU environment, comparing llama.cpp build 9976 and build 11571 running the same Gemma quantised model, the new build's generation speed is about 9.1% faster than the old build (6.60 vs 6.05 tok/s).62% similarUnverified使用 PaddleOCR、EasyOCR 等深度学习 OCR 引擎识别准确率提升到 95% 以上，但单帧处理时间增加到 1-2 秒且需要 GPU 加速61% similar
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