•1 min read•from Analytics Vidhya
Running Gemma 4 Locally with Ollama on Your PC
Our take
Open-weight models are reshaping the AI landscape, offering enhanced privacy, cost savings, and offline capabilities. With Gemma 4, Google introduces a powerful open-source model that stands out among the limited options available. This guide will explore what Gemma 4 is, examine its various variants, and outline the steps to run it locally using Ollama on your PC. Join us as we delve into how this innovative model can transform your AI experience and empower your data management journey.
Open-weight models are driving the latest excitement in the AI landscape. Running powerful models locally improves privacy, cuts costs, and enables offline use. But the open-source models are far and few! But Google‘s Gemma 4 is here to change that! This guide walks through what Gemma 4 is, would explores its variants, and outlines the […]
The post Running Gemma 4 Locally with Ollama on Your PC appeared first on Analytics Vidhya.
Read on the original site
Open the publisher's page for the full experience
Related Articles
- Top 10 Gemma 4 Projects That Will Blow Your MindGoogle, my favourite tech firm for reasons exactly as this one, has done it once again. It has got the worldwide community of developers supercharged with one new product. This one is called Gemma 4. What’s the hype? Well, a completely open-source model that competes with AI models 20 times its size. And this one […] The post Top 10 Gemma 4 Projects That Will Blow Your Mind appeared first on Analytics Vidhya.
- Google Released Gemma 4 with a Focus On Local-First, On-Device AI InferenceWith the release of Gemma 4, Google aims to enable local, agentic AI for Android development through a family of models designed to support the entire software lifecycle, from coding to production. By Sergio De Simone
- Gemma 4 Tool Calling Explained: Build AI Agents with Function Calling (Step-by-Step Guide)Imagine asking your AI model, “What’s the weather in Tokyo right now?” and instead of hallucinating an answer, it calls your actual Python function, fetches live data, and responds correctly. That’s how empowering the tool call functions in the Gemma 4 from Google are. A truly exciting addition to open-weight AI: this function calling is […] The post Gemma 4 Tool Calling Explained: Build AI Agents with Function Calling (Step-by-Step Guide) appeared first on Analytics Vidhya.
- Google Opens Gemma 4 Under Apache 2.0 with Multimodal and Agentic CapabilitiesGoogle has announced the release of Gemma 4, a series of open-weight AI models, including variants with 2B, 4B, 26B, and 31B parameters, under the Apache 2.0 license. Key features include enhanced video and image processing, audio input on smaller models, and extended context windows up to 256K tokens. By Hien Luu
Tagged with
#financial modeling with spreadsheets#self-service analytics tools#google sheets#rows.com#predictive analytics in spreadsheets#predictive analytics#self-service analytics#Gemma 4#Ollama#open-source models#open-weight models#AI landscape#privacy#offline use#local models#powerful models#Google#costs#local deployment#model variants