Local models are getting remarkably compact. PrismML has released Bonsai 2 27B, based on Qwen3.8 27B. With three-digit quantization, it takes just 5.9 GB — roughly 9× smaller than the full version. Developer tests show it retains 98.2% of the original score, while supporting image input and tool calling. It’s also open under Apache 2.0. How far can this push capable local AI onto everyday hardware?
David ArnalShare
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