[KongchangAI]
ModelBonsai 2 9B

Ternary Bonsai 2 9B

A ternary-quantized 9B-parameter language model released by PrismML in GGUF format, with a file size significantly smaller than the 27B version in the same series.

Timeline (last 90 days)

Oct 16

PrismML released Ternary Bonsai 2 9B, whose GGUF file is only 2.25 GiB, while the 27B version is 6.70 GiB.

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Oct 16

In laptop benchmarks, Ternary Bonsai 2 9B is 2.4–3.6 times faster than 27B.

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Oct 16

In replay testing, the 9B downgraded 15 of 65 escalation requests already confirmed by the second model to clarify.

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Oct 16

On task B, 43% of the 9B's answers returned 'intervention needed: true' together with 'continue as normal', violating the application-layer rules.

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Oct 16

In task A, after reweighting by production volume, the 9B's allow proportion dropped from the 27B's 86.4% to 49.5%, clarify rose from 13.4% to 50.1%, and the weighted agreement rate was 61.2%.

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Oct 16

In task B, after reweighting, about 17% of checks would be routed to the managed fallback due to verification failure, actually increasing the load that was originally intended to be reduced.

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Oct 16

In task C, the 9B stayed consistent on 91 of the 103 cases the 27B marked as flagged or urgent, an agreement rate of 88.3%; but there were only five none cases, making it impossible to reliably estimate the false positive rate.

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