Ollama Reviews and details

Social recommendations and mentions

• How I made my Home Server accessible outside my home

  Open WebUI: I use it for user interface of my running Ollama models. - Source: dev.to / about 14 hours ago

• The ultimate open source stack for building AI agents

  Use Ollama to run LLMs like Mistral, LLaMA, or OpenChat on your machine. It’s one command to load and run. - Source: dev.to / about 18 hours ago

• Run Your Own AI: Python Chatbots with Ollama

  First of all, install Ollama from https://ollama.com/. - Source: dev.to / 7 days ago

• How I Built a Multi-Agent AI Analyst Bot Using GPT, LangGraph & Market News APIs

  Swap OpenAI for Mistral , Mixtral , or Gemma running locally via Ollama, for:. - Source: dev.to / 12 days ago

• Spring Boot AI Evaluation Testing

  The original example uses AWS Bedrock, but one of the great things about Spring AI is that with just a few config tweaks and dependency changes, the same code works with any other supported model. In our case, we’ll use Ollama, which will hopefully let us run locally and in CI without heavy hardware requirements 🙏. - Source: dev.to / 14 days ago

• Case Study: Deploying a Python AI Application with Ollama and FastAPI

  Ollama allows running large language models locally. Install it on the Linux server using the official script:. - Source: dev.to / 11 days ago

• Best Opensource Coding Ai

  How to use it? If you have Ollama installed, you can run this model with one command:. - Source: dev.to / 14 days ago

• Build AI Agents Fast with DDE Agents

  Make sure you have Ollama installed if you want to use local models. - Source: dev.to / 15 days ago

• Deploying an LLM on Serverless (Ollama + GCloud) for Free(ish)

  In the context of this article, we'll learn to deploy transformer-based LLMs served on Ollama to Cloud Run, a Google serverless product powered by Kubernettes. We are using Cloud Run because serverless deployments only incur costs when a user is performing a request. This makes them very suitable for testing and deploying web-based solutions affordably. - Source: dev.to / 16 days ago

• Build a multi-agent RAG system with Granite locally

  For the orchestration of this collaboration, we can use AutoGen (AG2) as the core framework to manage workflows and decision-making, alongside other tools like Ollama for local LLM serving and Open WebUI for interaction. Notably, every one of these components is open source. Together, these tools enable you to build an AI system that is both powerful and privacy-conscious—all without leaving your laptop. - Source: dev.to / 16 days ago

• Cut Your API Costs to Zero: Docker Model Runner for Local LLM Testing

  While Ollama also supports local LLMs, its API isn’t OpenAI-compatible—so if you're using the official SDK, Docker Model Runner offers a smoother experience. - Source: dev.to / 21 days ago

• Setting Up Llama 3.2 Locally with Ollama and Open WebUI: A Complete Guide

  Download the Ollama from here: https://ollama.com/ and install it locally. It should be very easy to install just one click. It'll automatically setup the CLI path, if not please explore the documentation. - Source: dev.to / 30 days ago

• 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. - Source: dev.to / about 1 month ago

• The 3 Best Python Frameworks To Build UIs for AI Apps

  Local LLM tools like LMStudio or Ollama are excellent for offline running a model like DeepSeek R1 through an app interface and the command line. However, in most cases, you may prefer having a UI you built to interact with LLMs locally. In this circumstance, you can create a Streamlit UI and connect it with a GGUF or any Ollama-supported model. - Source: dev.to / about 1 month ago

• Running Gemma 3 Locally: A Step-by-Step Guide

  Step 1: Install Ollama Ollama is a platform that facilitates the running of AI models locally. It supports various operating systems and simplifies the deployment process. Download Ollama from the official website here: Https://ollama.com/. - Source: dev.to / about 1 month ago

• AI Agents For Cloud & DevOps Engineers: RAG Operations

  First, download Ollama on your machine. You can find the download here. - Source: dev.to / about 2 months ago

• How to run Large Language Models (LLMs) locally.

  Ollama is a lightweight tool designed to download open-source large language models (LLMs) directly on your computer. It also exposes an API to create, modify and/or provide a REST API for running and managing models too. - Source: dev.to / about 2 months ago

• How to Install and Run QwQ-32B Locally on Windows, macOS, and Linux

  Visit ollama.com and click on the download button for Windows. - Source: dev.to / about 2 months ago

• Code Reviews with AI: a Developer Guide

  I’ve tried with the IntelliJ plugin “Continue”, Ollama, and the models “codellama” and ”deepseek-coder” and the experience was not bad at all. With this solution also you are sure your code, and your prompts are not going anywhere out of your domains. - Source: dev.to / 2 months ago

• De-identifying HIPAA PHI Using Local LLMs with Ollama

  Before trying to replicate, make sure you have Ollama installed and you've pulled Mistral Small 3 ollama pull mistral-small:24b. - Source: dev.to / 2 months ago

• Set Up Your Own Free Coding Copilot with Continue, Deepseek & Open Models – No Limits!

  We are going to setup our own custom coding copilot in both Linux and Mac(tested on M1 pro) , which will be free unlimited and will be hosted on local machine thus no leakage of sensitive data. We will use an open-source tool called continue for our setup and ollama to run the model. - Source: dev.to / 3 months ago