← Back to the site

Engineering

Small models on small devices

Distilled a speech model to run offline on mid-range phones without losing the words people use most.

Tech lead

2023 – 2024

4×

smaller than the base model

120 ms

median latency on a phone

Offline

no network needed

Notes

The goal

People wanted voice notes that work on a train with no signal. The base model was too big and too slow for the phones most of them own.

The approach

We distilled the model into a smaller student, then fine-tuned it on the vocabulary people actually used in the app.

The result

The new model is four times smaller and answers in about 120 ms on a mid-range phone. Accuracy on everyday words stayed within a point of the original.

Create a free website with Framer, the website builder loved by startups, designers and agencies.