[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"aihot-art-85771":3},{"itemId":4,"vertical":5,"category":6,"source":7,"score":8,"title":9,"summary":10,"analysis":11,"url":12,"coverUrl":13,"direction":13,"marketSignal":13,"publishedAt":14},"85771","ai","模型发布\u002F更新","Berry Xia",73,"PrismML发布Bonsai 27B，全球首个可在手机本地运行的27B级大模型","PrismML发布Bonsai 27B，全球首个可在手机本地运行的27B级多模态大模型。","PrismML 发布 Bonsai 27B，号称全球首个可在手机本地运行的 27B 级大模型，基于 Qwen3 量化而来，已在实际业务中落地。\n· 传统 27B 模型在 FP16 下需约 54GB 内存，4-bit 量化后仍有 18GB，手机和多数笔记本无法承载。\n· Bonsai 27B 通过激进量化，使 27B 模型能在手机和笔记本上本地运行。\n· 开发者已在 M1 Pro 32GB 笔记本上测试，回答速度较快，体验良好。\n· 模型已接入公司业务做本地任务，支持多模态，表现稳定。\n影响\u002F看点：首个手机可用的 27B 模型，端侧大模型落地迈出关键一步。","https:\u002F\u002Fx.com\u002Fberryxia\u002Fstatus\u002F2077202209767662002",null,"2026-07-15 09:22:54"]