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How to run DeepSeek locally

Blog post from WorkOS

Post Details
Company
Date Published
Author
Zack Proser
Word Count
867
Company Posts That Month
29
Language
English
Hacker News Points
84
Post removed?
No
Summary

DeepSeek R1 is an open-source large language model (LLM) for conversational AI, coding, and problem-solving. It recently outperformed OpenAI's flagship reasoning model on several benchmarks. To run DeepSeek R1 locally, users can use Ollama, a tool that simplifies the complexities of AI model deployment by offering pre-packaged model support, cross-platform compatibility, and simplicity and performance. The main DeepSeek R1 model is large, but users can also download smaller "distilled" variants, such as 1.5B or 7B, which are optimized for developers who want lighter compute requirements or faster responses. Running DeepSeek R1 locally keeps data private and allows for faster responses without worrying about external dependencies. The tool can be integrated into any workflow and is suitable for commercial use.

Trends Found in this Post
Trend Post Mentions Total Month Mentions Posts Companies MoM
LLM 4 3,709 434 145 +39%
Voice AI 3 945 95 28 +52%
Real-time 1 3,671 840 202 +19%
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