Generator Noise Note Classifier

How Generator Noise Note Classifier works

Press Load model once: your browser downloads Gemma 4 E2B instruction-tuned (web build) (2.0 GB) from this site and keeps it in its cache. Then add your text and press Classify locally. The model runs on this device using your graphics card, so nothing you enter is sent to a server. Until the model is loaded, or if your device cannot run it, the tool falls back to a simple keyword check and labels the result as the fallback.

Gemma 4 E2B instruction-tuned (web build) is a small open language model from Google. The tool sends it the instruction below plus your text, asks for a JSON answer with fixed fields, and shows each field as a card. It runs at temperature 0, so the same input gives the same answer on the same device, though different graphics cards can word it slightly differently.

Inputs longer than 6,000 characters are cut to that length before they reach the model, and the result says so. The model only sees what you paste: it does not look anything up.

The instruction the model gets

You read a note about a backup generator's noise and placement. Copy every decibel reading, distance, wattage and time exactly as written; do not convert or recalculate decibels or distances. Rate the likely concern as Low, Medium or High from the clues in the text (overnight use, distance to bedrooms or neighbours, open versus enclosed). Do not state what local noise laws allow.

What it returns

• Likely concern: Low, Medium or High, followed by the main reason from the text.
• Readings and distances: Each dB reading, distance and unit size, as written.
• Who could be affected: Neighbours, bedrooms, windows or people the text mentions.
• Mitigations to consider: Options suggested by the setup in the text: moving it, an enclosure, a quieter mode, limiting overnight hours.
• Check locally: Things to confirm, such as local noise rules, HOA rules or quiet hours.

Worked example

The model's output for the built-in sample, recorded on a desktop browser. Your run may word things slightly differently.

Generator note: Portable 7,500W unit reads 78 dB at 23 feet near fence, neighbor bedroom window 35 feet away, used during overnight outages.

Likely concern

Medium, due to overnight use and proximity to a neighbor's bedroom window

Readings and distances

78 dB 23 feet 35 feet

Who could be affected

neighbor bedroom

Mitigations to consider

moving it an enclosure limiting overnight hours

Check locally

local noise laws

The model

The files are served from this site, versioned so a cached copy is never stale. Nothing is fetched from a third party while you use the tool.

Limitations

• Small language models make mistakes: they can miss an item, merge two, or state something more confidently than the text supports. Check the result against your input before you rely on it.
• It needs WebGPU and about 8 GB of memory, so it is offered on desktops and laptops, not on phones and tablets. Devices that cannot run it get the keyword fallback, clearly labelled.
• Results describe the input you gave, not the real-world situation behind it. Review them yourself before acting.

Good uses

• Triage energy and utilities notes before deeper review
• Prepare consistent labels for repeat workflows
• Reduce manual sorting on small batches
• Keep sensitive drafts in the browser preview