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Ollama

Ollama

The easiest way to run large language models locally

5.0
•34 reviews•

418 followers

The easiest way to run large language models locally

5.0
•34 reviews•

418 followers

Visit website
AI Infrastructure Tools
Run Llama 2 and other models on macOS, with Windows and Linux coming soon. Customize and create your own.
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  • Reviews34
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Company Info
github.com/jmorganca/ollama
Ollama Info
Launched in 2023View 1 launch
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p/ollama
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Launch tags:
Artificial Intelligence•GitHub
Launch Team
Chris MessinaJeff Morgan

What do you think? …

Jeff Morgan
Jeff Morgan
Ollama

Ollama

Maker
📌
Hi Product Hunt! I'm one of the makers and maintainers of Ollama, an open-source tool that makes it easy to get up and running with local large language models (LLMs) like Meta's Llama 2. Local LLMs are a bunch of fun! They're private, free to use and most excitingly there's a growing number of fine-tuned models available to run for different use cases. We're working hard to make Ollama easier to use in your workflow. LangChain recently added an Ollama integration, and we've designed Ollama with an easy to use API, making it easy to integrate into an existing app or build entirely new AI apps: https://github.com/jmorganca/oll.... Would love any feedback from you as we work on making Ollama better 😊.
Report
2yr ago
André J
André J
How much ram do I need to run this? Any other hw specs needed?
Report
2yr ago
Michael Chiang
Michael Chiang
Kitematic

Kitematic

@sentry_co it depends on which model you want to run, an 8GB macbook pro M1 would be able to run the 'default' 7B llama 2 model (albeit with swap) 16GB M1 Macbook is what I have, and I can run 13B models just fine. 70B models, we've had good success with 64GB mac studios.
Report
2yr ago
André J
André J
@mchiang0610 Thanks! Ill make my order a 64gb MacBook. And reference this reply :D joke aside. what's swap?
Report
2yr ago
Bryan Lee
Bryan Lee
Stackfiles

Stackfiles

Congrats on the launch! I've been using this for the past couple of weeks and it's the easiest way to start using LLMs locally.
Report
2yr ago
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Brand API — Speed up your onboarding with 1 API call
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Do you use Ollama?

Forum Threads

Ollamap/ollamaKim Hallberg
Kim Hallberg
•

2d ago

Ollama Turbo now in preview

Introduced with the release of Ollama's support for @GPT OSS, is Turbo; Ollama's privacy-first datacenter-grade cloud inference service.

Whilst it's currently in preview, the service costs $20/m, and has both hourly and daily limits. Usage-based pricing will be available soon. So far, the service only has gpt-oss-12b and gpt-oss-120b models, and works with Ollama's App, CLI, and API.

View all
5.0
Based on 34 reviews
Review Ollama?

Ollama is praised for its ease of use and efficiency in running large language models locally. Makers from Portia AI highlight its universal connectivity for local models, while Znote appreciates its secure, cost-free AI interaction. Cognee notes its effectiveness with 32b parameter models. Users commend its quick setup and ability to prototype without internet dependency, making it a valuable tool for developers seeking privacy and customization in AI model deployment.

Denis GalkaKaterina PascoulisDries Depoorter
+31
Summarized with AI
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•6 reviews
easy to use, like docker for ai
Report
6mo ago
Denis Galka
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used Ollama to buildSequoia
(311 points)
We’re exploring Ollama to test and run LLMs locally—faster iteration, zero latency, total control. It’s like having our own AI lab, minus the GPU bills
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29d ago
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used Ollama to buildPortia AIPortia AI
(594 points)
Universal connector for all the local models hooking into our SDK.
Report
1mo ago