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Bonsai 2 27B is a 27B-parameter reasoning model from PrismML derived from Qwen3.8-27B. It supports coding, mathematics, tool calling, and image understanding with a 262K-token context window. Ternary compression shrinks...
Best for
Local run command
# Refer to provider docs:
Presumptive Specs:
Typical GPU
12–24 GB VRAM
System RAM
16+ GB
Disk
20+ GB free
Runtime
Docker / local runtime
Community reliability estimate · not official
About this score: Community-estimated based on user reports and publicly available benchmark data (e.g. TruthfulQA). This is not an official score from the model provider. Scores may be inaccurate — always verify with the official leaderboard before making production decisions.
Input & output cost per 1M tokens over time
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Learn how to use PrismML: Ternary Bonsai 2 27B
💡 Tip: Start with the sample prompts above to see how PrismML: Ternary Bonsai 2 27B works best.
Proven prompts shared by the community for this model