PrismML releases 1-bit and ternary Bonsai Image 4B models
The compact models run high-quality diffusion inference on local devices like phones and laptops.
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Ultra-dense AI model developer
prismml.comLast updated
In short: PrismML emerged from stealth with $16.25M in funding and launched a series of hyper-compressed 1-bit and ternary AI models.
The compact models run high-quality diffusion inference on local devices like phones and laptops.
The models use a 1.58-bit weight architecture for high efficiency and are available in 8B, 4B, and 1.7B sizes.
The 1-bit Bonsai 8B model runs on phones, laptops, and edge devices, slashing energy use while matching bigger models.
PrismML claims it has compressed a 27-billion-parameter AI model down to 4GB — small enough to run on an iPhone 17 Pro. Most advanced AI...
Apple relies heavily on local models for Siri AI, but they are comparatively small. The young provider PrismML has now shrunk ...
PASADENA, Calif., April 16, 2026 /PRNewswire/ -- PrismML, a pioneer in high-performance AI models, today announced the Ternary Bonsai model family: three state-of-the-art large language...
Forbes contributors publish independent expert analyses and insights. Analyzing tech stocks through the prism of cultural change. A team of Caltech mathematicians at PrismML just...
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