How to Run DeepSeek Locally: Distilled vs Full Model, Picked by VRAM
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.
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LLM Quantization Explained: What Q4_K_M Means and How to Choose a GGUF Quant
LLM quantization explained: what Q4_K_M means, GGUF quant sizes and speeds side by side, and how to pick Q4, Q5 or Q8 for your VRAM, with Ollama commands.
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LM Studio Tutorial: Download and Run Models Without the Command Line
A complete LM Studio tutorial: install, search and download models, pick a quantization, tune context, chat with documents and start the local API.
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How to Run an LLM Locally: Hardware You Need and How to Pick a Model (2026)
Want to run an LLM locally? Learn how much VRAM you need, which models fit 8GB to 48GB, and how to get your first model running with Ollama in five steps.
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How to Install Ollama on Windows, Mac and Linux: From Download to Your First Model
Install Ollama on Windows, macOS or Linux, verify it works, run your first model, move the model folder and fix common problems. Updated October 2026.
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Qwen 本地部署：Qwen3 / 3.5 / 3.6 / 3.8 怎么选尺寸、怎么跑
Qwen 本地部署怎么做？Qwen3、3.5、3.6、3.8、Coder、VL 的 Ollama 文件大小、显存对应表、一键命令、思考模式开关与常见问题。
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本地大模型是什么？和在线 AI 的区别、适合谁
本地大模型是什么？一文讲清本地、离线、端侧三个词的区别，对比在线 AI 的隐私、成本与能力差异，并说明哪些人适合、需要什么硬件。
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DeepSeek 本地部署：蒸馏版与满血版的区别，按显存选版本
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。
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大模型量化是什么：Q4_K_M 怎么读、不同量化档位怎么选
大模型量化是什么？Q4_K_M 命名含义、GGUF 各量化档位大小与速度对照、怎么根据显存选 Q4/Q5/Q8，附 Ollama 与 Hugging Face 用法。
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LM Studio 教程：免命令行下载和运行模型，新手完整上手指南
LM Studio 教程：从安装、搜索下载模型、选量化版本，到设置上下文、对话文档、开启 OpenAI 兼容接口，新手一篇学会，不用命令行。
