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💥重磅!Qwen3.8-Flash-Next 量化版炸裂升级:Token消耗直接腰斩50%,准确率暴涨15%!本地32GB丝滑跑通125B级MoE!

💥重磅!Qwen3.8-Flash-Next 量化版炸裂升级:Token消耗直接腰斩50%,准确率暴涨15%!本地32GB丝滑跑通125B级MoE! 数据震撼: 🔹Token消耗降低50%(thinking更少、输出更精炼)…💥重磅!Qwen3.8-Flash-Next 量化版炸裂升级:Token消耗直接腰斩50%,准确率暴涨15%!本地32GB丝滑跑通125B级MoE! 数据震撼: 🔹Token消耗降低50%(thinking更少、输出更精炼)…

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.

💥重磅!Qwen3.8-Flash-Next 量化版炸裂升级:Token消耗直接腰斩50%,准确率暴涨15%!本地32GB丝滑跑通125B级MoE! 
数据震撼:
🔹Token消耗降低50%(thinking更少、输出更精炼)
🔹准确率提升15%(同尺寸量化对比,Terminal Bench、DeepSWE等代理基准领先)
🔹思考质量与Token使用接近全精度的95%
🔹支持256K超长上下文,32GB+ RAM即可运行(无需高显存)
🔹1-bit起就能跑,体积大幅压缩却几乎不掉点 3步极速上手: 1️⃣下载模型:直接去 Hugging Face 拉 GGUF → https://huggingface.co/unsloth/Qwen3.8-Flash-Next-GGUF 2️⃣安装运行环境:下载 Unsloth Desktop(Mac/Win/Linux一键)或用最新llama.cpp 3️⃣加载即跑:选择对应量化文件,设置256K上下文,开启思考模式即可体验 完整指南 & 基准数据:https://unsloth.ai/docs/models/qwen3.8-next 本地AI又迎来质变时刻!有32GB内存的朋友直接冲,体验真正能打的本地Agent级模型! #Qwen #Unsloth #LocalLLM #GGUF #量化优化 #开源AI #Qwen38Flash

Posted by SuSu_酥酥👅 (26.9k followers) 1 h ago · 26 likes · 2.8k 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, strata.

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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, 9.5k tools, 12 markets. New posts are collected several times an hour and the full ranking is recomputed every hour — last update 2026-11-06 16:11 UTC. Full method.