omm contribute
Repeatedly install, benchmark, and upload telemetry for hardware-fit models — deleting each one afterward — to grow the training data behind omm recommend.
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Overview
contribute is the one command in omm that is meant to run unattended for a while: it downloads a candidate, benchmarks it, uploads the result under your current upload policy, deletes the model to keep disk usage bounded, and repeats until you press Esc or it runs out of candidates this hardware hasn't already covered. It refuses to start unless every model volume has real free space, and prints the exact consent notice below before it downloads anything.
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Options
Every flag this command accepts, and what it defaults to when you leave it out.
--report-errors—Default: offSend scrubbed error reports from this run only. Doesn't change the saved policy, and is ignored if error reports are explicitly turned off.
--json—Default: offAccepted as a global flag, but contribute has no JSON output mode; omm prints a warning and ignores it.
--yes, -y—Default: offSkip the 'Start contributing compute now?' confirmation and every per-model prompt — required for an unattended run.
--quiet, -q—Default: offSuppress progress bars and background status or hint lines. Errors and benchmark results still print.
--no-color—Default: offDisable colored terminal output.
--help—Default: offPrint contribute's usage and options, then exit.
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Examples
From a plain search to something you'd put in a script.
Interactive — prints the consent notice, then asks before starting.
$ omm contributeUnattended — no confirmation prompt, runs until Esc or the candidates run out.
$ omm contribute --yesAlso send scrubbed error reports from this run.
$ omm contribute --report-errorsStore models under a roomier volume than the default ~/.omm, straight from the README.
$ OMM_HOME=/mnt/data/omm omm contribute --yes04 / 06
Recorded CLI run
Command recorded in this video
omm contribute --no-colorexit code: 0 · outcome: cancelled
Cancelled by the recorded keyboard input before any install, model run, benchmark, or upload.
Extended documented terminal example
Verbatim reproduction of the real consent notice omm contribute prints before it downloads anything (src/omm/cli.py:8512-8540), for the Ollama engine and its upload policy shown as 'ask' — not a literal full-run capture, since a real run downloads, benchmarks, uploads and deletes real models in a loop, which this page won't trigger.
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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.
omm contribute requires benchmark uploads to be enabled. Run `omm setting upload --enable` or `--ask` first.- why
- contribute always uploads its benchmark results — that's the point of the command — so it refuses to start while uploads are turned off entirely.
- what to do
- Run omm setting upload --enable or --ask, then retry.
- source
- src/omm/cli.py:8425-8429
Neither Ollama nor LM Studio is installed or available. Install one of them, start it once, then retry `omm contribute`.- why
- Benchmarking needs a running engine to load the model into, and contribute only knows how to drive Ollama or LM Studio for this.
- what to do
- Install and start Ollama or LM Studio at least once, then retry.
- source
- src/omm/cli.py:8447-8453
omm contribute will not start with low disk space. Keep at least 10 GiB free on every model volume before an unattended run. /Users/you/.omm/models: 3.2 GiB free.- why
- Every candidate needs headroom for the central download plus a worst-case engine copy — contribute checks this before starting an unattended run, not partway through one.
- what to do
- Free up space on the reported volume (the message names exactly how much), or point OMM_HOME at a roomier drive.
- source
- src/omm/cli.py:7864-7871
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 setupRe-run the hardware scan and runner-install checklist, any time.
- README — UsageEvery omm command, one line each.