prism-ml
PrismML: Ternary Bonsai 2 9B
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 inference. It accepts text and image input. Its 262K-token context window supports long conversations and document-heavy workflows, with up to 64K output tokens per response.
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 inference. It accepts text and image input. Its 262K-token context window supports long conversations and document-heavy workflows, with up to 64K output tokens per response.
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