what the hell a 27B model in ~5.9 GB Ternary Bonsai 2 27B - 1.76-bit ternary weights - 262K context - text + image input - coding + reasoning + agentic tasks - runs locally - Apache 2.0 licensed P
Why CEREBRO kept it
Ternary Bonsai 27B: local, quantized, agentic-capable; rising open-source framework.
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Ternary Bonsai 2 27B
- 1.76-bit ternary weights - 262K context - text + image input - coding + reasoning + agentic tasks - runs locally - Apache 2.0 licensed
P
> Ternary Bonsai 27B: local, quantized, agentic-capable; rising open-source framework.
what the hell a 27B model in ~5.9 GB
Ternary Bonsai 2 27B
- 1.76-bit ternary weights - 262K context - text + image input - coding + reasoning + agentic tasks - runs locally - Apache 2.0 licensed
PrismML keeps 98.2% of the benchmark performance
27B class AI in a tiny package https://t.co/PZw7nI7MBp
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