PrismML launches a 5.9 GB Qwen3.8 model for local AI
Babak Hassibi's Caltech spinout says Bonsai 2 keeps 98.2% of full-precision performance, though its launch materials disagree on the test suite.
By Ryan Merket · Published
Primary source: PR Newswire
Why it matters
PrismML is testing whether capable open-weight AI can move from rented cloud GPUs into private, local products. The footprint is meaningful; conflicting launch metrics make independent testing decisive.
PrismML launched Bonsai 2 27B on September 17th, giving developers an Apache 2.0-licensed version of Qwen3.8 27B whose language model fits into 5.95 GB. PrismML says its ternary weights preserve 98.2% of the full-precision model's benchmark performance while cutting the footprint by roughly nine times.…
When you purchase through links in our articles, we may earn a small commission. This doesn’t affect our editorial independence.