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SLM360: On-Device Language Model Under 50MB

We built India's first sub-50MB language model that runs entirely on the device, answering in 39 milliseconds with no server and no connection, private by default because nothing ever leaves the phone.

Built by
360 Labs (Internal)
Stack & approach
On-DeviceSub-50MB39ms LatencyDistillationFully Offline
Interface screens from SLM360: On-Device Language Model Under 50MB
Interface, from the 360Labs case-study deck (page 54).

The problem

Language models are too large for deployment on constrained devices, and server round-trips break the offline, private-by-default posture that on-device AI is supposed to provide.

Solution & architecture

A sub-50MB model that runs entirely on-device, answering at 39ms with no connectivity and no server. Quantised and distilled for device-class hardware, SLM360 delivers interactive responses fully offline: no data ever leaves the device.

Research highlights

  • Nothing leaves the device

    No server, no connectivity in the path

  • Private by default

    On-device inference is inherently private

  • India's first

    Sub-50MB on-device language model