2026骁龙峰会上，高通与PrismML在骁龙AR1 Gen 1智能眼镜平台本地运行20亿参数1-bit量化Bonsai视觉模型，实现离线识图问答。该模型基于Bonsai 1.7B构建，精度压缩至1-bit，内存占用仅为4-bit模型四分之一，同等内存可容纳约4倍参数，显著降低存储与推理资源需求。
全球首个27B级手机AI模型Bonsai27B问世，基于Qwen3.6，采用三进制与二进制压缩技术：三元版5.9GB侧重性能，可在笔记本运行；1-bit版极致缩小，适配移动端。这一突破标志着大模型轻量化部署的重大飞跃。
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deepgrove
盆景是一个拥有5亿参数的小型三值权重语言模型，采用Llama架构和Mistral分词器，训练使用的标记数不到50亿。
Bonsai-mcp是一个Blender插件，通过IfcOpenShell实现对IFC建筑模型的分析与操作，支持与Claude等LLM交互执行建筑信息模型查询任务。
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