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.