🤯惊了！9B参数大模型，只需16G内存即可本地跑通，能力反超Qwen3.5-27B！
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.
🤯惊了！9B参数大模型，只需16G内存即可本地跑通，能力反超Qwen3.5-27B！ 用计算深度（Looped Transformer + 参数共享循环）替代堆参数，打出27B级水准。 关键亮点 🔹9B顶27B：WorkBuddy、RaccoonPPT、AutomationBench全面超越Qwen3.5-27B 🔹mHC加持：GPQA Diamond +4.42，TeamBench +13.34 🔹多模态长上下文：支持图文输入，262K上下文，代码/办公/Agent全面强势 🔹极致轻量：量化后轻松跑在16G设备，Apache 2.0开源，支持MTP加速 操作步骤 1️⃣HF下载：sensenova/SenseNova-Loop-9B-Preview 2️⃣安装依赖：pip install "transformers==5.18.0" torch accelerate 3️⃣加载推理（trust_remote_code=True），支持thinking与多模态 4️⃣社区GGUF量化版适合16G纯CPU/低显存本地部署 https://huggingface.co/sensenova/SenseNova-Loop-9B-Preview https://github.com/OpenSenseNova/SenseNova-Loop #SenseNova #商汤
Posted by SuSu_酥酥👅 (25k followers) 1 h ago · 19 likes · 1.2k views · view the original post on X. Kept by the Dev Radar as AI dev tools. Tools mentioned: sensenova-loop-9b-preview, sensenova-loop.
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