omm doctor
Diagnose the omm install itself and its Ollama links — which binary is actually running, whether the package and source agree, whether the registry matches what Ollama can see — without changing anything.
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Overview
Reach for doctor when something about omm itself seems off — the wrong version running, a command not found after an update, a model omm thinks is linked that Ollama doesn't actually see — and you want a structured answer instead of guessing. Every check is read-only: nothing it finds gets fixed automatically, and running it twice in a row never changes the second result.
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Options
Every flag this command accepts, and what it defaults to when you leave it out.
--json—Default: offPrint the same checks as structured JSON instead of a table.
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Examples
From a plain search to something you'd put in a script.
The full diagnostic table.
$ omm doctorThe same checks as JSON.
$ omm doctor --jsonSame diagnosis, without the progress output.
$ omm doctor --quiet04 / 06
A real run
Real omm doctor capture, 2026-08-25, this dev machine — personal file paths generalized, every check name, status, and non-path detail (versions, commit, tag names) real and unedited, including the real WARN this run actually found (a git-editable install whose package metadata trails its source by a few versions).
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If something goes wrong
Every message below is one this command actually prints. Find yours, read why it happened, then do the last line.
Overall: FAIL (N pass, N warn, 1 fail)- why
- doctor's own docstring is explicit about this: a WARN never fails the command, but a genuine FAIL (like a completely broken Ollama link) does.
- what to do
- Read the FAIL row's detail column for the specific check that failed, and address that — the table names exactly what's wrong.
- source
- src/omm/cli.py:2513-2514
Still stuck? Open an issue with the exact message you saw.
All commands
- omm searchFind a model across the curated catalog, HuggingFace and ModelScope.
- omm installDownload a model into the hub and link it into every installed runner.
- omm runChat with an installed model — in the terminal for Ollama, or by opening the app for GUI runners.
- omm recommendGet a model suggestion ranked for this machine's hardware, with an offer to install it.
- omm contributeBenchmark models in a loop, uploading telemetry to improve recommend for hardware like yours.
- omm setupRe-run the hardware scan and runner-install checklist, any time.
- omm scanPrint this machine's hardware, detected runners, and models — no flags needed.
- omm tuneGet recommended context length, GPU offload, threads, and batch size for a model.
- omm fitSee whether a model fits this machine's free memory right now, installed or not.
- omm helpShow omm's own command summary, or the full reference with --all.
- omm importAdopt .gguf files sitting in other apps' model directories into the omm hub.
- omm uninstallRemove a model and clean up its symlinks and manifests. Alias: rm.
- omm listShow every model omm has installed and which runners each is linked into. Alias: ls.
- omm infoShow full detail — repo, version, size, links, run commands — for one installed model.
- omm upgradeRefresh installed models against their source — only re-downloads what's actually changed. Alias: up.
- omm linkRe-verify and repair every installed model's runner links, or link into a custom directory.
- omm cleanupClean up leftover partial downloads and broken runner symlinks in one pass — no flags needed.
- omm verifyProve that an installed model actually loads and generates text on this machine.
- omm benchmarkLocal quality and speed smoke evidence for one or more installed models.
- omm updateReinstall omm from the latest source and refresh its recommendation data.
- omm settingView or change omm's settings — telemetry, outbound data, theme, update channel, and more.
- omm engine installInstall one local AI runner program directly, skipping the setup checklist.
- omm logRead the local run log: what omm ran, when, and whether it worked.
- README — UsageEvery omm command, one line each.