💥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！

This is a AI post classified by AGK Intelligence as Open & local models (a model release), kept by the AI 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 · 27 likes · 2.9k views · view the original post on X. Kept by the AI Radar as Open & local models. Tools mentioned: qwen3.8-flash-next-gguf, unsloth.ai, strata.

More AI work like this

• Qwen 4 (unnamed quant) — @loktar00
• 北冥有鱼，其名为鲲。 — @NFT_Chen
• If you want to get started with Local AI but dunno where to start, THIS IS FOR YOU 🚨 — @javierbits
• This could be so cool. — @niklaslenz_ai
• Qwen is teasing a new model — @RoundtableSpace
• 时代变了，以前是token每秒，有人提出了秒每token。。。。 — @mylifcc
• Qwen3.8-Flash-Next GGUFs now run faster with less thinking and less token use. — @UnslothAI
• Last Qwen3.8 Flash update with STQ 2.75bpw v2.0 pack. It moves away from hybrid… — @Beamsters1

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. 65.6k posts from 5k X accounts over the last 14 days, 10.4k tools, 19 markets. New posts are collected several times an hour and the full ranking is recomputed every hour — last update 2026-11-06 16:05 UTC. Full method.