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2026年最佳本地LLM:
高性能 (24GB以上 VRAM,最好配备多个GPU
• Kimi K2 - 1T参数,32B活跃。MoE猛兽
• GLM-4.7 )Z AI( - 30B-A3B MoE,SWE-bench 73.8%
• DeepSeek V3.2 - 671B / 37B活跃。仍然是开源之王
• Qwen3 235B-A22B - 如果你有足够的硬件,质量/成本比疯狂
中等配置 )16-24 GB VRAM / RAM
• Qwen3 30B-A3B - 性能远超预期,长语境下稳定
• Gemma 3 27B - Google最好的开源版本
• Nemotron 3 Nano 30B - Math500:91%。如果你需要数学能力,业内最佳
轻量级模型 (8-16 GB RAM,无需专用GPU即可运行
• Qwen3 8B / 4B / 1.7B - 目前最好的小模型系列
• Gemma 3 4B - 在CPU上出人意料地强大
• Phi-4 )14B - 微软用少做多
本地AI技术栈正在真正追上云端