Hacker News — AI on Front Page · · 1 min read

MicroLLM Lab – Try 7 tiny LLM's in the browser

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Objective checks (regex / exact tokens), not writing quality. A 135M model is allowed to fail — that is the measurement. Pick models, then run. Estimate uses your last tok/s if we have one.

🏎️ Highest Peak Speed — Fastest single test
⚡ Highest Sustained Speed — Continuous 256-tok decode
📊 Avg Sustained Speed — Across tested models
⏱️ Total Benchmark Score — Cumulative suite wall time

Runtime per test (ms)

Accuracy per test

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Speed (tokens/s, sustained decode, suite wall) and accuracy (pass rate on objective tests) from runs in this browser. Numbers stay on this machine. Charts use the latest suite per model.

🏎️ Highest Peak Speed — Fastest single test
⚡ Highest Sustained Speed — Continuous 256-tok decode
📊 Avg Sustained Speed — Across loaded models
⏱️ Total Benchmark Score — Total execution wall time

Accuracy (latest suite)

Speed (mean tok/s)

Suite wall (ms)

Verified Benchmark Certificate & Social Share

Generate and download a verifiable performance certificate with your device hardware, peak and sustained tokens/second, and share your score.

Your Name or Handle
Device & Hardware Information
MicroLLM Lab Benchmark Certificate

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Write a benchmark in JavaScript

The editor is eval()’d in this origin, then each check runs on the model’s decoded text.

Prompt for a larger LLM

Function form


            
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