💥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 dev post classified by AGK Intelligence as AI dev tools (a tool drop), kept by the Dev 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) 29 min ago · 17 likes · 571 views · view the original post on X. Kept by the Dev Radar as AI dev tools. Tools mentioned: tqllm.com, GitHub, tqllm, strata.
More dev work like this
- Strata update! An RTX 3060 12GB got 3× faster at processing Qwen3.8-Flash-Next prompts. — @TeksEdge
- AI 工程学了不少，想真正上手，还是得看能运行的项目。 — @bkdgiffug
- Meet Arete-27B: a fine-tuned Qwen3.5 model built for value alignment and rich… — @HuggingModels
- Your coding agent is still running. You don’t need to stay at your desk. — @DanKornas
- Agent 操作浏览器时，整页截图和 HTML 往往很耗 Token。PinchTab 提供了另一种方案。 — @bkdgiffug
- Kimi K3.1 Pro in @DevinAI CLI — @Chris_Wozniczek
- Which model fits your PC? — @PeasantSmith
- 1/ Most todo apps make you do two jobs: remember the task, then do it. — @_sebastianscott
Every post is read and classified by AGK Intelligence: what it is, which market it belongs to, and whether the link is a real tool. 31.8k posts from 5k X accounts over the last 21 days, 9.6k tools, 12 markets. New posts are collected several times an hour and the full ranking is recomputed every hour — last update 2026-11-07 20:02 UTC. Full method.