Local
Pro
local
privacy
llm

Ollama

The default local runtime for open-weight AI on laptops and desktops. Best for private local inference with one-command installs and broad model support.

Last updated: Apr 10, 2026

Performance Metrics

Hover over scores for detailed breakdown and explanations

Performance
87
Very Good
Privacy
100
Excellent
Ease of Use
80
Very Good

Supported Models & Capabilities

AI models and features available in this solution

Llama 4 Scout

large

Quantization: Q4_K_M

Open-weight long-context model with strong multimodal potential

DeepSeek V3.2 / R1 Distills

large

Quantization: Q4_K_M

Excellent local reasoning and coding options depending on your hardware budget

Qwen 3.5

medium

Quantization: Q4_K_M

Very strong multilingual and coding-capable open model family

Technical Specifications

Hardware and system requirements

Min VRAM
8GB for small models, 16GB+ recommended, 24GB+ for large image and 70B-class workloads
OS Support
Windows, macOS, Linux
API
OpenAI-compatible local REST API

Hardware Requirements

What you need to run this solution locally

Min VRAM
8GB for small models, 16GB+ recommended, 24GB+ for large image and 70B-class workloads
OS Support
Windows, macOS, Linux
What Models Can You Run?
Small models (3-7B) - CPU or budget GPU
Medium models (8-13B) - RTX 3060/4060 Ti
Large models (14-34B) - RTX 4070 Ti+
Huge models (70B+) - RTX 4090 or multi-GPU

Why Choose Ollama?

Key advantages and use cases

Complete Privacy

All data processing happens locally on your hardware. No data leaves your machine.

No Subscription Costs

One-time setup. No monthly fees. You only pay for your hardware and electricity.

Offline Capable

Works without internet connection. Perfect for travel or sensitive work.

Free to Use

No subscription or usage fees. Perfect for experimentation and personal use.

Ready to Get Started?

Download and install on your own hardware. Complete control, total privacy.