Ollama

The easiest way to run large language models locally

5.0•44 reviews•

2.1K followers

The easiest way to run large language models locally

5.0•44 reviews•

2.1K 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.

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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6mo 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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5.0

Based on 44 reviews

Review Ollama?

Reviewers see Ollama as a low-friction way to run local LLMs: easy to install, simple to switch models, usable from the terminal, and straightforward to plug into existing tools and code. Users repeatedly praise privacy, offline use, and quick prototyping, including on weak or no internet. Founders of OpenObserve, Bob's CLI, and ModelHub echo that it keeps development local and self-hosted with minimal setup. The main knocks are practical: image generation is missing, and one maker says concurrency and VRAM management can get awkward under load.

+41

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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34 views3mo 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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178 views11mo ago

used Ollama to build FeedsBar

•3 reviews

What's great

Signal 500, the list of sources FeedsBar is built on, is scored by a local vision model running on a Mac mini at home. Ollama lets it look at every site the way a reader would: ad load, readability, design. No API bill, no data leaving the house.

vs Alternatives

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2 views8d ago