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

# Predibase

> Use Predibase's open-source and fine-tuned LLMs through Prisma AIRS AI Gateway.

## Quick Start

Get started with Predibase in under 2 minutes:

<CodeGroup>
  ```sh cURL icon="square-terminal" theme={"system"}
  # 1. Add @predibase provider in model catalog
  # 2. Use it:

  curl https://aigw.portkey.ai/v1/chat/completions \
    -H "Content-Type: application/json" \
    -H "Authorization: Bearer $PORTKEY_API_KEY" \
    -d '{
      "model": "@predibase/llama-3-8b-instruct",
      "messages": [{"role": "user", "content": "Hello!"}]
    }'
  ```

  ```python OpenAI Py icon="python" theme={"system"}
  from openai import OpenAI

  # 1. Install: pip install openai
  # 2. Add @predibase provider in model catalog
  # 3. Use it:

  client = OpenAI(
      api_key="PORTKEY_API_KEY",  # AI Gateway API key
      base_url="https://aigw.portkey.ai/v1"
  )

  response = client.chat.completions.create(
      model="@predibase/llama-3-8b-instruct",
      messages=[{"role": "user", "content": "Hello!"}]
  )

  print(response.choices[0].message.content)
  ```

  ```js OpenAI JS icon="square-js" theme={"system"}
  import OpenAI from "openai"

  // 1. Install: npm install openai
  // 2. Add @predibase provider in model catalog
  // 3. Use it:

  const client = new OpenAI({
      apiKey: "PORTKEY_API_KEY",  // AI Gateway API key
      baseURL: "https://aigw.portkey.ai/v1"
  })

  const response = await client.chat.completions.create({
      model: "@predibase/llama-3-8b-instruct",
      messages: [{ role: "user", content: "Hello!" }]
  })

  console.log(response.choices[0].message.content)
  ```
</CodeGroup>

## Add Provider in Model Catalog

Before making requests, add Predibase to your Model Catalog:

1. Go to [**Model Catalog → Add Provider**](https://stratacloudmanager.paloaltonetworks.com/)
2. Select **Predibase**
3. Enter your [Predibase API key](https://app.predibase.com/settings)
4. Name your provider (e.g., `predibase`)

<Card title="Complete Setup Guide" icon="book" href="/docs/aigw/product/model-catalog">
  See all setup options and detailed configuration instructions
</Card>

***

## Predibase Capabilities

### Serverless Endpoints

Predibase offers LLMs like **Llama 3**, **Mistral**, **Gemma**, etc. on its [serverless infrastructure](https://docs.predibase.com/user-guide/inference/models#serverless-endpoints) that you can query instantly.

<Note>
  **Sending Predibase Tenant ID**

  Predibase expects your **account tenant ID** along with the API key in each request. With the AI Gateway, you can send [**your Tenant ID**](https://app.predibase.com/settings) with the `user` param while making your request.
</Note>

### Using Fine-Tuned Models

Predibase allows you to deploy and use fine-tuned models with adapters. Use the special format with your model identifier from your Predibase dashboard:

<Note>
  **Fine-Tuned Model Format:**
  `model = base_model:adapter-repo-name/adapter-version-number`

  For example: `llama-3-8b:sentiment-analysis/1`
</Note>

### Dedicated Deployments

Route requests to your dedicated deployed models by passing the deployment name in the `model` parameter:

### JSON Schema Mode

Enforce JSON schema for all Predibase models by setting `response_format` to `json_object` with your schema:

***

## Supported Models

Predibase provides access to various open-source and fine-tuned models:

* Llama 3 (various sizes)
* Mistral
* Zephyr
* Your custom fine-tuned models

Check [Predibase's documentation](https://docs.predibase.com/) for the complete model list and fine-tuning options.

***

## Next Steps

<CardGroup cols={2}>
  <Card title="Gateway Configs" icon="sliders" href="/docs/aigw/product/ai-gateway">
    Add fallbacks, load balancing, and more
  </Card>

  <Card title="Observability" icon="chart-line" href="/docs/aigw/product/observability">
    Monitor and trace your Predibase requests
  </Card>

  <Card title="Fine-Tuning Logs" icon="chart-mixed" href="/docs/aigw/product/observability">
    Track performance of fine-tuned models
  </Card>
</CardGroup>


## Related topics

- [Prisma AIRS AI Gateway Models](/docs/aigw/product/model-catalog/gateway-models.md)
- [Overview](/docs/aigw/integrations/llms.md)
- [Supported Providers](/docs/aigw/api-reference/inference-api/supported-providers.md)