How To Run LLM Models Locally | Learn Ollama in 15 Minutes | Deepseek R1 | Mistral | Simplilearn

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This tutorial on Run LLM Locally by simplilearn provides Running LLMs locally on Windows using the Command Prompt involves installing and setting up necessary tools like Ollama, a simple way to manage and run models. Start by installing Ollama, which provides an easy interface to load and execute models. Before running any LLM, ensure you have sufficient disk space, as models like DeepSeek R1 and Mistral require several gigabytes. To install DeepSeek R1, use Ollama's built-in commands, and once installed, you can run it with a simple prompt-based command. Similarly, installing Mistral follows the same process—just pull the model using Ollama and execute it locally. Running these models allows you to process natural language queries directly on your system without relying on cloud-based APIs. Additionally, Ollama offers more options for customization, such as loading different model versions and optimizing performance. With this setup, you gain full control over your LLM environment, ensuring privacy and offline capabilities. Whether experimenting with DeepSeek R1 or Mistral, this method provides an efficient way to leverage powerful AI models on your local machine.

Following are the topics covered in tutorial on How To Run LLMS Locally:

00:00:00 Introduction to How to Run LLMs Locally in Windows Command Prompt
00:02:40 Install Ollama
00:04:30 LLM Modules - Deepseek R1 Module
00:05:05 Space requirement to Run LLMs Locally
00:05:50 Install DeepSeek
00:07:25 How to Run Deepseek R1
00:10:10 Install Mistral with ollama
00:11:25 Run Mistral Locally
00:13:20 more options on Ollama

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Dive into the future of AI with our Generative AI & Machine Learning course, in collaboration with E&ICT Academy, IIT Guwahati. Learn tools like ChatGPT, OpenAI, Hugging Face, Python, and more. Join masterclasses led by IITG faculty, engage in hands-on projects, and earn Executive Alumni Status.

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