🚨卧槽！本地Agent王炸再升级！Unsloth Dynamic V3.1 把 Qwen3.8-Flash-Next 精确度直接拉高15%！
This is a dev post classified by AGK Intelligence as AI dev tools (a launch), kept by the Dev Radar because it carries real work, not commentary.
🚨卧槽！本地Agent王炸再升级！Unsloth Dynamic V3.1 把 Qwen3.8-Flash-Next 精确度直接拉高15%！ Unsloth刚放出新一代 Dynamic V3.1 GGUF，在 Terminal Bench、DeepSWE、Aider Polyglot 等Agent级基准上，平均比其他前沿量化高出 >15% 精度，部分场景甚至达到10-15% vs GSQ-RCO，成为同体积下最强量化。 性能优化亮点 🔹精度暴涨15%+：在DeepSWE v1.1、Terminal Bench 2.1等关键Agent基准上全面领先，同体积碾压其他量化方案 🔹极致压缩：1-bit仅约75GB（比BF16小79%），仍保留约80% top-1精度；支持N-gram/PLE Engram灵活切换（BF16/Q8_0/Q5_1/IQ4_NL） 🔹MTP加速：开启Multi-Token Prediction后推理速度提升 1.3-1.7倍，单卡RTX 6000 PRO可达约170 tok/s 🔹长上下文友好：原生支持256K-262K上下文，Agent任务实测基于26B+ tokens基准 🔹硬件门槛友好：官方支持32GB+ RAM起步（实际推荐75GB+统一内存/RAM，Mac统一内存或高内存PC最佳） 3步开跑： 1️⃣安装Unsloth Desktop（最
Posted by SuSu_酥酥👅 (26.5k followers) 1 h ago · 19 likes · 962 views · view the original post on X. Kept by the Dev Radar as AI dev tools. Tools mentioned: qwen3.8-flash-next-gguf, Introducing Unsloth Studio, compare.py, arXiv.org, specpilot.
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