Ternary Bonsai 2 9B is PrismML’s compact, open-weight language model for conversational AI, reasoning, and tool use. Built on Qwen3.5, it uses ternary weights packed into 2 bits for efficient...
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Ternary Bonsai 2 9B is PrismML’s compact, open-weight language model for conversational AI, reasoning, and tool use. Built on Qwen3.5, it uses ternary weights packed into 2 bits for efficient. It is published by Prism Ml and catalogued here from OpenRouter.
PrismML: Ternary Bonsai 2 9B accepts up to 262.144K tokens of context and returns up to 65.536K output tokens.
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