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Run LLMs Locally: Build Your Own AI Chat Assistant
This week, I explored how to run an AI chatbot locally using open-source models like CodeLlama with Ollama. The goal was to create an AI assistant that works entirely offline, just like ChatGPT, but without relying on any cloud-based services. If you’ve never worked with LLMs before, don’t worry—this guide will take you from zero to a working local AI chat assistant step by step. Step 1: Install Ollama Ollama makes it incredibly easy to run open-source AI models on your own machine. If you haven’t installed it yet, just run: curl -fsSL https://ollama.com/install.sh | sh This will install Ollama and its dependencies. Once installed, you can pull any model you want. For example, to download CodeLlama: ollama pull codellama Now you have an AI model running locally!
This week, I explored how to run an AI chatbot locally using open-source models like CodeLlama with Ollama. The goal was to create an AI assistant that works entirely offline, just like ChatGPT, but without relying on any cloud-based services.
If you’ve never worked with LLMs before, don’t worry—this guide will take you from zero to a working local AI chat assistant step by step.
Step 1: Install Ollama
Ollama makes it incredibly easy to run open-source AI models on your own machine. If you haven’t installed it yet, just run:
curl -fsSL https://ollama.com/install.sh | sh
This will install Ollama and its dependencies.
Once installed, you can pull any model you want. For example, to download CodeLlama:
ollama pull codellama
Now you have an AI model running locally!
