> ## Documentation Index
> Fetch the complete documentation index at: https://benchgen.com/docs/llms.txt
> Use this file to discover all available pages before exploring further.

# On a Platform Model

> Benchmark a model that is already published or deployed on BenchGen against an Eval environment.

**Platform Models** are the models already available on BenchGen: published models and endpoints
that are ready to evaluate without any extra setup. This is the default source on the Evaluate
screen and the quickest way to score a model your workspace already has.

<Info>
  **Not the source you need?** If you want to pull a model from the Hub, see [From a HuggingFace
  model](/docs/eval/run-a-benchmark-huggingface); if you started a live endpoint yourself, see [On a
  running model](/docs/eval/evaluate-a-running-model).
</Info>

***

## Prerequisites

* A benchmark or environment to evaluate against, from the Environments Hub or a [custom
  environment](/docs/eval/create-environment) you uploaded.
* At least one model available under **Platform Models**. See [Add a model](/docs/eval/add-a-model).

***

## Steps

### 1. Open a benchmark

From **Eval → Environments**, open the benchmark you want to run against.

<img src="https://mintcdn.com/benchgen-8fc81371/IfVgV9RQkb1kYYW_/images/eval/platform/00-benchmarks-list.jpg?fit=max&auto=format&n=IfVgV9RQkb1kYYW_&q=85&s=0a5e55b01c956b640193f964d95cb039" alt="The AI Benchmarks environment list" width="1424" height="989" data-path="images/eval/platform/00-benchmarks-list.jpg" />

Click **Evaluate** in the top right, or open the **Evaluate** tab.

### 2. Select a platform model

The **Evaluate** tab opens on the **Platform Models** tab. It lists every model available on the
platform, each with a **ready** badge. Use the search box to filter, then click a model to select
it.

<img src="https://mintcdn.com/benchgen-8fc81371/IfVgV9RQkb1kYYW_/images/eval/platform/01-platform-models-tab.jpg?fit=max&auto=format&n=IfVgV9RQkb1kYYW_&q=85&s=867389d0dda159cb6c328a2e7cf6c48a" alt="The Platform Models tab with the model list and Advanced panel" width="1424" height="989" data-path="images/eval/platform/01-platform-models-tab.jpg" />

Once a model is selected, the **Advanced: model environment & parameters** panel fills its
connection values from that model, and the **Run Evaluation** button becomes active.

### 3. Set run values (optional)

Expand **Advanced: model environment & parameters** to review what the benchmark injects:

* **Model (under test)** chips are auto-filled from the selected model.
* **You provide these** are the fields the benchmark owner exposed to runners.
* **Sampling parameters** (Temperature, Max tokens, Top P, Timeout) tune the model connection.

See [Environment variables](/docs/eval/environment-variables) for how these values are declared and
injected into the run.

<Warning>
  Leave a field blank to fall back to the benchmark defaults. The runner fills in values only; the
  keys are fixed by the benchmark owner.
</Warning>

### 4. Run and review

Click **Run Evaluation**. BenchGen creates the run, streams live logs, and computes the score when
it finishes. Open the completed run to see the **Score Breakdown** and the per-question **Detailed
Results** table.

See [Read results](/docs/eval/read-results) for a full walkthrough of the results page.

***

## Next steps

* [On a running model](/docs/eval/evaluate-a-running-model): benchmark a live endpoint you deployed.
* [From a HuggingFace model](/docs/eval/run-a-benchmark-huggingface): pull and score a Hub model.
* [Read results](/docs/eval/read-results): interpret the score breakdown and detailed table.