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The easiest way to run large language models locally

Google Translate
Translation · Detection · Transliteration · Term Context

Which is more popular?
Based on our record, Ollama seems to be more popular. It has been mentioned 301 times since March 2021.
Website, pricing, platforms and company facts side by side.
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| Website | ollama.com | opensorted.com |
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In their own words, as submitted to SaaSHub.


No description of Ollama yet.
Cloud-based neural machine language service. Distributed Infrastructure. 110+ languages. Fixed price for unlimited requests.
What each product offers, as listed by its team.


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Why this product is good
Recommended for
Ollama is recommended for businesses and teams seeking an efficient project management solution. It is especially useful for remote teams, startups, and any organization looking to enhance collaboration and project tracking capabilities.
Overall verdict
Why this product is good
Recommended for
Walkthroughs and reviews on video.
How often each product is chosen within a category, 0–100% relative to the other.


Share your experience with using Ollama and OpenSorted. For example, how are they different and which one is better?
Recommendations tracked on public social media and blogs since March 2021.


Hardware: a MacBook Pro with an M3 Max and 48 GB of memory. Runtime: Ollama. Two models, both open weights: gemma2:27b, Google's June 2024 release, 15 GB on disk at the default 4-bit quantization, under the Gemma terms; and bge-m3,... - Source: dev.to / about 23 hours ago
If the labs use a local model, add the download to the same preflight. Pulling a few gigabytes of weights over a home connection is fine with a week of notice and hopeless during a coffee break. Ollama makes that one command, and the... - Source: dev.to / 1 day ago
LLM: Ollama based on Microsoft.Extensions.AI as an abstraction that support tool calling. Can be swapped for any IChatClient (Azure OpenAI, Bedrock, OpenAI, etc.). - Source: dev.to / 2 days ago
Tracking OpenSorted since Sep 2022.
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