在本视频中,我们将详细介绍如何在本地部署DeepSeek R1模型,利用Ollama工具解决服务器繁忙问题。 通过本地部署,您可以享受更稳定、更快速的AI体验。 本教程适用于Windows系统,操作简单易懂,特别适合新手。 无论您是AI爱好者、开发者,还是对本地AI感兴趣的用户,都可以通过本教程轻松实现本地部署。 让我们一起探索如何在本地搭建强大的AI助手吧!
In this video, we'll provide a step-by-step guide on how to locally deploy the DeepSeek R1 model using the Ollama tool, effectively addressing server congestion issues. By setting up the model on your local machine, you can enjoy a more stable and faster AI experience. This tutorial is tailored for Windows systems and is designed to be straightforward and beginner-friendly. Whether you're an AI enthusiast, a developer, or someone interested in local AI solutions, this guide will help you set up the model with ease. Let's explore how to build a powerful AI assistant on your local machine!
以下是模型DeepSeek-R1下载运行代码:
DeepSeek-R1-Distill-Qwen-1.5B
ollama run deepseek-r1:1.5b
DeepSeek-R1-Distill-Qwen-7B
ollama run deepseek-r1:7b
DeepSeek-R1-Distill-Llama-8B
ollama run deepseek-r1:8b
DeepSeek-R1-Distill-Qwen-14B
ollama run deepseek-r1:14b
DeepSeek-R1-Distill-Qwen-32B
ollama run deepseek-r1:32b
DeepSeek-R1-Distill-Llama-70B
ollama run deepseek-r1:70b
Page Assist插件地址【点击直达】
相关视频教程youtube:【点击观看】
文章评论