💥炸了！本地跑Qwen 3.8新巅峰！tqLLM 1.4.4碾压TensorFold/Strata/Splash，27B & Flash-Next速度起飞，Qwen…
This is a AI post classified by AGK Intelligence as Open & local models (a tool drop), kept by the AI Radar because it carries real work, not commentary.
💥炸了！本地跑Qwen 3.8新巅峰！tqLLM 1.4.4碾压TensorFold/Strata/Splash，27B & Flash-Next速度起飞，Qwen 4.0提前布局！ 单卡24GB轻松跑125B MoE，Flash-Next，仅6B激活+ 27B密集模型，比竞品快1.42x，Mac一键安装，OpenAI兼容API，准备好迎接Qwen 4.0！ 核心亮点 🔹极致速度：DGX Spark上Qwen3.8-27B提示词比TensorFold 1.2.3快最多1.42x；RTX 3090上Flash-Next多用户总输出比Strata高34%；Mac M5 Pro上27B 4-bit比Splash快8-44%（16K-128K），支持256K上下文。 🔹本地部署新高度：Flash-Next（125B MoE）在24GB GPU + 64GB RAM即可跑；27B 4-bit约16-19GB，16GB卡也能玩。精确投机解码（输出100%一致），无OOM长回答问题。 🔹全平台友好：NVIDIA（RTX 30/40/50 + DGX Spark）+ Apple Silicon Metal优化，支持Unsloth Dynamic v3.1、NVIDIA NVFP4、EXL3、TQ量化等。 🔹开发者友好：OpenAI兼容API + 实时监控面板，一键启动Claude/Cod
Posted by SuSu_酥酥👅 (27.2k followers) 21 min ago · 14 likes · 403 views · view the original post on X. Kept by the AI Radar as Open & local models. Tools mentioned: tqllm.com, GitHub, tqllm, strata.
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