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Token2Metrics

Translating tokens to latency, energy metrics for edge inference

Overview

Token2Metrics is a module part of the edgereasoning project. This module handles data postprocessing and plotting figures for latency, power and energy. The evaluations supported are:

prefill decode scaling

Phase-Specific Modeling

  • Prefill latency: Model predicts prefill time from input tokens only.
  • Decode latency: Model predicts decode time from output tokens only.
  • Each phase is trained and calibrated separately for each model size.

Quick Start

look into the prefilltokens, prefillenergy and decodetokens on how run those for datasets available.

About

LLM performance metrics analysis for the edgereasoning study

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