PrismML releases ternary AI models as small as 0.43GB for local agents
The free Apache 2.0 Bonsai 2 models use ternary weights and add vision and tool calling, alongside performance figures reported by PrismML.
By RuntimeWire Staff · Published
Primary source: PR Newswire
Why it matters
Smaller model files can make local inference more practical on devices with tight memory and power limits. PrismML's release adds vision and tool use to that pitch, while its headline performance figures are company-reported, so developers should test the models on their target hardware.
Babak Hassibi, a Caltech professor and co-founder and CEO of PrismML, released 2B, 4B and 9B models in the Bonsai 2 family on October 15th. Based on Qwen3.5, the models are intended to bring reasoning, visual understanding and tool use to local AI agents on computers, phones and wearables.…