DeepSeek R1 Distill Sizes Explained: 1.5B, 7B, 8B, 14B, 32B and 70B by VRAM
DeepSeek R1 distill sizes explained: what 1.5B to 70B are, Ollama download sizes, how long reasoning raises memory use, and which size fits 8GB to 48GB.
DeepSeek R1 distill sizes explained: what 1.5B to 70B are, Ollama download sizes, how long reasoning raises memory use, and which size fits 8GB to 48GB.
Local LLM model size chooser: pick 7B, 14B, 32B or 70B from your VRAM and task with a five-step method, memory formulas and a table of starting sizes.
本地大模型尺寸怎么选:用五步法、内存公式和起步尺寸表,按显存和任务挑 7B、14B、32B 还是 70B,避免买到用不上的硬件。
DeepSeek R1 蒸馏版尺寸详解:1.5B 到 70B 各是什么模型、Ollama 下载大小、长推理为何多占内存,以及 8GB 到 48GB 显存该选哪个。
Run DeepSeek locally the right way: R1 distills vs the full model vs V4, which Ollama tag fits 8GB to 48GB of VRAM, and four commands to get started.
Local LLM appliance buying guide for 2026: how the market shifted, how mini AI boxes, servers and DIY builds compare, and 10 questions to ask vendors.
DeepSeek 本地部署怎么选?讲清 R1 蒸馏版与满血版、V4 的区别,按 8GB 到 48GB 显存给出 Ollama 版本对照,并附四步部署命令。
大模型一体机价格怎么看?梳理 2025 到 2026 年市场变化,对比企业级、迷你 AI BOX 和自己装机三类方案,给出并发估算方法和向厂商提问的清单。