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Ollama provides features for organizing, deploying, and managing AI models. It supports teams in effective collaboration and efficient use of AI technologies.
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Usable application software: supports people in a task.
Concrete cog in the system that works inside larger relationships.
Ollama is a local runtime that downloads, manages, and runs language models through a command line or HTTP interface.
Ollama emerged as an open-source project from the need to run large language models locally through a simple installation, model-management, and runtime workflow. The project coupled that local service with a Modelfile concept and an API.
Ollama runs as a local service. A model is downloaded, loaded, and called through the CLI or a local HTTP API. A Modelfile can define the base model, system instruction, template, and parameters. Memory use, speed, and quality depend on the model, quantization, and hardware.
The local service loads model weights and computes responses on available hardware.
A Modelfile describes the base model, template, system instruction, and runtime parameters.
The CLI and HTTP interface connect local models to applications and tools.
Ollama fits prototyping, offline scenarios, and experiments with sensitive inputs. Production use requires review of model rights, capacity, monitoring, access control, and output quality.
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