Ollama

Ollama is an open-source platform that makes it easy to deploy and run a variety of large language models on your local computer, protects data privacy, and offers cloud-based models as a supplement.

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Local AI model deploymentOpen-source large language model frameworkOllama usage guideOffline AI toolsLocal deployment of LLMs

Features of Ollama

Provides a rich library of open-source models, covering inference, vision, and code generation among other types.
Supports fully localized operation, ensuring user data privacy and security, without uploading to the cloud.
Provides an OpenAI-compatible API to facilitate developers integrating into existing tools and workflows.
Launched Ollama Cloud, enabling the execution of extremely large models even on hardware with limited capacity.

Use Cases of Ollama

Developers locally test and integrate open-source large language models on their personal computers for application development.
Researchers run specific models offline to conduct experiments and analyses while safeguarding data privacy.
Tech enthusiasts explore and compare the performance of different open-source AI models in local environments.
When users need to run extremely large models, they can supplement local computing power with Ollama Cloud cloud service.

FAQ about Ollama

What is Ollama?

Ollama is an open-source framework designed to simplify the local deployment, management, and execution of large language models on personal computers.

What are the main advantages of Ollama?

Its main advantages are fully local operation that protects data privacy, easy installation and use, and a flexible API that makes it easy for developers to integrate.

Is Ollama free to use?

The core Ollama framework is free and open-source. Its Ollama Cloud service offers a free quota and paid plans such as Pro and Max to achieve higher usage limits and performance.

Which operating systems does Ollama support?

Ollama supports major operating systems including macOS, Windows, and Linux. Users can download the corresponding installer from the official site or deploy using Docker.

How does Ollama ensure user data security?

The model runs on the user's local hardware, and data does not need to be uploaded to the cloud. The cloud service also commits not to retain user query data, emphasizing privacy.

What are the hardware requirements to run Ollama?

It is recommended to have at least 8 GB of RAM to run a 7B-parameter model; running larger models requires more memory and VRAM. It is advisable to allocate more than 20 GB of disk space to store models.

Features of Ollama

Provides a rich library of open-source models, covering inference, vision, and code generation among other types.

Supports fully localized operation, ensuring user data privacy and security, without uploading to the cloud.

Provides an OpenAI-compatible API to facilitate developers integrating into existing tools and workflows.

Launched Ollama Cloud, enabling the execution of extremely large models even on hardware with limited capacity.