Prism ML compresses 9B vision-language model to 2.42 GB with ternary weights

This story is from 2026-11-05. It is preserved in the archive; the latest stories are on the live feed.

Prism ML's Ternary-Bonsai-2 shrinks a 9B vision-language model to 2.42 GB using ternary weights and hybrid attention, supporting 262K context for on-device inference.

Read the full story at AlphaSignal ↗

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2026-11-05 16:02 · AlphaSignal
Prism ML's Ternary-Bonsai-2 Shrinks a 9B AI Model to 2.42 GB

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