inference performance / TOKEN WIKI
The total system throughput of
model quantification
In one sentence
model quantization uses lower-precision numerical values to represent part of the model data or calculations to reduce resource overhead.
Why it matters
quantization may reduce memory or improve performance, but the exact effect depends on the model, hardware, method and accuracy loss.
Practical considerations
first verifies the task quality, then compares the real memory, throughput and latency, and confirms the operator and framework support used. Is the accuracy of
FAQ
completely unchanged after quantization?
is not guaranteed and needs to be re-evaluated for the target mission.
