# Model Info

> Model Info - To view the Model Info tab, click a model on the Leaderboard, then click Model Info.
> The tab’s tiles report general model and performance information.

This Markdown file sits beside the HTML page at the same path (with a `.md` suffix). It summarizes the topic and lists links for tools and LLM context.

Companion generated at `2026-04-24T16:03:56.753845+00:00` (UTC).

## Primary page

- [Model Info](https://docs.datarobot.com/en/docs/workbench/nxt-workbench/experiments/experiment-insights/model-info.html): Full documentation for this topic (HTML).

## Related documentation

- [NextGen UI documentation](https://docs.datarobot.com/en/docs/workbench/index.html): Linked from this page.
- [Workbench](https://docs.datarobot.com/en/docs/workbench/nxt-workbench/index.html): Linked from this page.
- [Predictive experiments](https://docs.datarobot.com/en/docs/workbench/nxt-workbench/experiments/index.html): Linked from this page.
- [Evaluate models](https://docs.datarobot.com/en/docs/workbench/nxt-workbench/experiments/experiment-insights/index.html): Linked from this page.
- [smart downsampling](https://docs.datarobot.com/en/docs/classic-ui/modeling/build-models/adv-opt/smart-ds.html): Linked from this page.

## Documentation content

# Model Info

| Tab | Description |
| --- | --- |
| Details | Provides tiles that report general model and performance information. |

For [time series models](https://docs.datarobot.com/en/docs/workbench/nxt-workbench/experiments/experiment-insights/model-info.html#time-series-info), backtest information also appears in the model information.

The output displays the following information:

| Field | Description |
| --- | --- |
| Model File Size | Reports the sum total of the cache files DataRobot uses to store the model data. It's generated from an internal storage mechanism and indicates your system footprint, which can be especially useful for Self-Managed AI Platform deployments. |
| Prediction Time | Displays the estimated time, in seconds, to score 1000 rows of the dataset. |
| Sample Size | Reports the number of observations used to train and validate the model (and also for each cross-validation repetition, if applicable). When smart downsampling is in play or DataRobot has downsampled the project, Sample Size reports the number of rows in the minority class rather than the total number of rows used to train the model. |
| Max RAM | Reports the maximum amount of RAM this model used during the training. |
| Cache Time Savings | Displays any time savings benefits achieved by this model from leveraging earlier training. DataRobot will reuse blueprint vertices trained beforehand when possible. |