Ollama

The easiest way to run large language models locally

4.9•36 reviews•

2K followers

The easiest way to run large language models locally

4.9•36 reviews•

2K followers

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AI Infrastructure Tools

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LLM Developer Tools

Run Llama 2 and other models on macOS, with Windows and Linux coming soon. Customize and create your own.

Framer 3.0With Agents, Branching Community and an all-new design

Promoted

Ollama Launches

Ollama v0.19Massive local model speedup on Apple Silicon with MLX

Launched on April 1st, 2026

Ollama Desktop AppThe easiest way to chat with local AI

Launched on August 1st, 2025

Ollama multimodal engineRun leading vision models locally with the new engine

Launched on May 19th, 2025

OllamaThe easiest way to run large language models locally

Launched on August 22nd, 2023

Forum Threads

p/ollama

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3mo ago

Ollama Explainer

Recent upgrade has been huge -- made a quick explainer video on what Ollama does, hope you all like it! :)

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4.9

Based on 36 reviews

Review Ollama?

Reviewers mostly praise Ollama for making local LLMs simple to run, switch, and customize, with especially strong feedback on privacy, offline use, and easy integration into other tools. Users say it works well from the terminal, supports self-hosted workflows, and helps them prototype without relying on cloud access. Founders of tools like ModelHub and Bob's CLI echo that it lowers setup friction and enables local inference on users’ own hardware. The main complaint is narrow: image generation is still missing.

+33

Summarized with AI

Pros

local AI model deployment (10)

easy to use (5)

no third-party API reliance (3)

AI server hosting (2)

data privacy (2)

Pros

Cons

Reviews

All Reviews

Most Informative

used Ollama to build ZylerAI

•10 reviews

What's great

Ollama is what I reach for when I want a model running locally in under a minute, and that matters more than people admit. The one-line pulls and the OpenAI-compatible endpoint mean I can drop it under existing code with almost no changes. Where it still bites me: concurrent requests get serialized in ways that aren't obvious until you load-test, and juggling VRAM across a few models gets fiddly. For local dev and prototyping though, nothing else is this frictionless.

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2 views10h ago

•2 reviews

What's great

easy to use (5)local AI model deployment (10)no third-party API reliance (3)

Super easy to use tool to launch self hosted llm, even for other AI tools.

What needs improvement

Image generation is still not available at this time.

vs Alternatives

No idea about alternatives, and sincerely I don't feel I need one

Ratings

Ease of use

Reliability

Value for money

Customization

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155 views8mo ago

•1 review

Recently I a long flight and having ollama (with llama2) locally really helped me prototype some quick changes to our product without having to rely on spotty plane wifi.

What's great

fast prototyping (1)local AI model deployment (10)no third-party API reliance (3)

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107 views3yr ago