benchmark-model

Installation
SKILL.md

Benchmark a model on MAX

max benchmark measures a running model server. It's a load generator: it sends inference requests to a live max serve endpoint, times them, and reports throughput (tokens/sec) and latency (TTFT, TPOT, inter-token latency). A benchmark combines two things: a server under test, and a workload that matches the question you're asking.

Every run reports both throughput and latency, so there's no mode to select. Decide what you want to learn first, then pick the workload that measures it. Single-stream latency and peak throughput come from different workloads, so the workload you choose is the measurement. Get that right and a clean number falls out.

Use this skill when you want a performance number for a model on MAX: tokens/sec, TTFT / TPOT, a concurrency or request-rate sweep, a latency-vs-throughput tradeoff, or deployment sizing.

Installs
41
Repository
modular/skills
GitHub Stars
123
First Seen
8 days ago
benchmark-model — modular/skills