想用24GB显卡跑本地模型？这篇文章直接对比了6款主流开源LLM，告诉你选哪个干哪种活，省得自己试。
文章对比了6款在单张24GB GPU上以Q4_K_M量化运行的开放权重模型，包括Qwen3.6、Gemma 4、Mistral Small、gpt-oss-20b和DeepSeek-R1-Distill。每个模型列出了VRAM占用、许可协议和擅长任务。例如Qwen3.6在代码生成方面表现突出，DeepSeek-R1-Distill推理能力较强。读者可根据需求选择适合的本地模型。
Best Local LLMs You Can Run on a Single 24GB GPU in 2026: Qwen, Gemma, Mistral, DeepSeek Compared
A single 24GB GPU is the practical floor for serious local inference. This guide compares six open-weight models that fit one card at Q4_K_M. It covers Qwen3.6, Gemma 4, Mistral Small, gpt-oss-20b, and DeepSeek-R1-Distill. Each entry lists VRAM fit, licensing, and the job it does best. The post Best Local LLMs You Can Run on a Single 24GB GPU in 2026: Qwen, Gemma, Mistral, DeepSeek Compared appeared first on MarkTechPost .
- berryxia07-18 14:19原文