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

# Creating Your First Model

> Step-by-step walkthrough to onboard, verify, and validate your first model

This tutorial shows how to onboard a model from source selection to readiness checks.

## What you'll build

A production-ready model entry that includes:

1. source configuration,
2. searchable metadata,
3. readiness verification,
4. baseline validation for team usage.

```mermaid theme={null}
graph LR
    A[Create Model] --> B[Select Source]
    B --> C[Provide Metadata]
    C --> D[Submit Ingestion]
    D --> E[Check Verification]
    E --> F[Validate in Repository]
```

## Prerequisites

* Access to Bud AI Foundry.
* Permissions to create models.
* Valid source credentials or artifact access.

## Step 1: Create a new model

1. Open **Models**.
2. Click **+ Model**.
3. Choose a modality that matches your use case.

## Step 2: Pick source and connect

Choose one source path:

* **Cloud**: select provider and model.
* **Hugging Face**: provide model identifier.
* **URL**: add approved download URL.
* **Disk**: specify server/mounted path.

<img src="https://mintcdn.com/budecosystem-b7b14df4/x2_P5cIlf4jublqF/images/image-16.png?fit=max&auto=format&n=x2_P5cIlf4jublqF&q=85&s=dcc464375aa6f3d7af0b19540e5cc8ff" alt="Image" width="1920" height="874" data-path="images/image-16.png" />

## Step 3: Add governance metadata

Populate metadata fields before submission:

* name and description,
* owner/author,
* tags and tasks,
* relevant public links.

<Tip>
  Consistent tags improve filtering for large multi-team model inventories.
</Tip>

## Step 4: Submit onboarding

1. Confirm details.
2. Submit the form.
3. Wait for ingestion and validation updates.

## Step 5: Review model details

Open the model detail view and verify:

* source and modality,
* verification and scan indicators,
* compatibility context for downstream deployment.

## Step 6: Validate discoverability

1. Return to repository list.
2. Search/filter by name, source, or tags.
3. Confirm the model appears for intended teams.

## Step 7: Optional baseline checks

* Run a security scan if required.
* Trigger benchmark/evaluation workflows for baseline quality and performance evidence.

## Expected result

<Check>
  Your model is successfully onboarded and visible in the repository.
</Check>

<Check>
  Verification signals are available for governance review.
</Check>

<Check>
  The model is ready for deployment and project workflows.
</Check>

## Next steps

<CardGroup cols={2}>
  <Card icon="book" href="/models/model-concepts" title="Model concepts">
    Understand lifecycle and governance states.
  </Card>

  <Card icon="shield" href="/models/guides/model-security-and-verification" title="Security and verification">
    Apply trust controls before production usage.
  </Card>

  <Card icon="gauge" href="/models/guides/performance-benchmarks" title="Performance benchmarks">
    Compare latency and throughput across options.
  </Card>
</CardGroup>