*4 ways to run LLMs like DeepSeek-R1 locally on your computer:* Running LLMs locally is like having a superpower: - Cost savings - Privacy: Your data stays on your computer - Plus, it's incredibly fun Let us explore some of the best methods to achieve this. 1️⃣ *Ollama* * Running a model through Ollama is as simple as executing a command: ollama run deepseek-r1 * You can also install Ollama with a single command: curl -fsSL https:// ollama. com/install .sh | sh 2️⃣ *LMStudio* * Install LMStudio can be installed as an app on your computer. * It offers a ChatGPT-like interface, allowing you to load and eject models as if you were handling tapes in a tape recorder. 3️⃣ *vLLM* * vLLM is a fast and easy-to-use library for LLM inference and serving. * It has State-of-the-art serving throughput ⚡️ * A few lines of code and you can locally run DeepSeek as an OpenAI compatible server with reasoning enabled. 4️⃣ *LlamaCPP (the OG)* * LlamaCPP enables LLM inference with minimal setup and state-of-the-art performance. That's a wrap! If you're interested in: - ML/AI Engineering ⚙️ - GenAi Consifer following → https://linktr.ee/AiCommunity ✔️ Author: *Niraj Lunavat* (https://www.linkedin.com/in/nirajlunavat)