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Ollama: native apps and a local API

A maintainer starting point for native installation and local model serving. Use its linked documentation to check platform support, installed model identity and local/cloud behavior.

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Source checked 2026-10-17 · Not independently reproduced by Run AI Here.

THE SOURCE IN CONTEXT

A maintainer starting point for native installation and local model serving. Use its linked documentation to check platform support, installed model identity and local/cloud behavior.

Run AI Here editorial · Published · Updated

What is the smallest useful local check?

Install a recorded platform release, start the intended local app or server, and query its model list on the default loopback API port 11434. An empty model list is a valid response before weights are installed. Choose an already available model and keep its returned digest with the runtime version before sending one small public prompt.

Source: ollama · pinned document

Why does a model name need more provenance?

A tag can move while its friendly name stays the same. Capture the installed model digest, model origin and any imported conversion. The upstream README includes local model execution as well as integrations with agent applications; an integration name does not prove that the entire client workflow stays offline.

Source: ollama · pinned document

Which installation and client paths are separate?

The README provides distinct macOS, Windows, Linux and Docker routes, plus Python and JavaScript libraries. Select the documented path for the host rather than mixing shell commands across operating systems. Retain the previous installer and configuration so a version change can be reversed without deleting the model store.

Source: ollama · pinned document

How should local-only behavior be verified?

A loopback endpoint establishes where that HTTP request goes. Cloud features, a selected cloud model or remote functions in the client are separate boundaries. Use the local-only guide to disable the documented server cloud feature and test the exact already-downloaded workflow offline. This reference has not inspected the reader’s machine or run its models.

Source: ollama · pinned document

AI-assisted source reading and original editorial synthesis; no independent model execution.

Key reading notes

Source identity and full condition receipt

Source identity

Attribution and exact source identity
Original publisherollama
Reference typeDeployment recipe
Model IDNot specified
Default recipe artifactNot specified
Runtime topics["Ollama"]
Source revisiond1ed3fd13ac73f60cff00bbead8af24a68c4200d
Source commit date — not experiment date2026-10-17T01:45:46Z
Source checked2026-10-17
Declared licenseMIT

Reported conditions

Unknown fields remain unspecified; context limits and measured input lengths are different
systemNot specified
node_countNot specified
parallelismNot specified
kv_dtypeNot specified
context_limit_tokensNot specified
experiment_dateNot specified
model_revisionNot specified
weight_hashNot specified
runtime_execution_revisionNot specified
input_tokensNot specified
output_tokensNot specified
concurrencyNot specified
cache_stateNot specified

Limits

The complete original tables and raw evidence remain in the linked reports. Selected attributed figures retain their own conditions. Results from different models, weights, runtimes, workloads or cohorts must be read separately.

License scope

Repository declaration only; models, containers, datasets and per-file terms remain separate.

This index publishes original explanations, limited attributed factual selections and source pointers. It does not distribute model weights or source repositories. Third-party material retains its own terms.