智谱发布 Ternary Bonsai 2 27B，压缩后仅 5.9GB 但保留 98.2% 性能
That's crazy when you think about it Qwen 3.8 27B is smarter than Opus 4.6 which was the absolute b...
智谱新出的Ternary Bonsai 2 27B模型，压缩后只有5.9GB，但性能还保留98.2%，比之前的全精度版本更小，更适合本地部署。
智谱发布的 Ternary Bonsai 2 27B 基于Qwen 3.8 27B，压缩后模型大小仅5.9GB，但保留了98.2%的基准性能。与全精度版本相比，它在代码生成、多模态推理和长程工具使用方面有显著提升。
That's crazy when you think about it Qwen 3.8 27B is smarter than Opus 4.6 which was the absolute b...
That's crazy when you think about it Qwen 3.8 27B is smarter than Opus 4.6 which was the absolute best model you could use 6-7 months ago. And now we have this Bonsai 2 retaining 98%+ of its intelligence... While weighing ONLY 5.9 GB 🤯 Intelligence density is absolutely crazy. Everyone has frontier intelligence at home now. PrismML @PrismML Today, we’re announcing Ternary Bonsai 2 27B. Based on Qwen3.8 27B, Bonsai 2 27B is 9x smaller than its full-precision counterpart while retaining 98.2% of its aggregate benchmark performance. Two months after the first Bonsai 27B release, the biggest change is quality. The footprint remains 5.9 GB, but the gap to full precision has narrowed materially, with particularly strong gains in agentic coding, multimodal reasoning, and long-horizon tool use. Ternary Bonsai 2 27B is available today under Apache 2.0. 🔗 View Quoted Tweet 💬 2 🔄 1 ❤️ 8 👀 1759 📊 3 ⚡