# <img src="https://models.dev/logos/llama.svg" alt="Llama logo" className="inline w-8 h-8 mr-2 align-middle dark:invert dark:brightness-0 dark:contrast-200" />Llama
[EN] Source: https://mastra.ai/models/providers/llama

Access 7 Llama models through Mastra's model router. Authentication is handled automatically using the `LLAMA_API_KEY` environment variable.

Learn more in the [Llama documentation](https://llama.developer.meta.com/docs/models).

```bash
LLAMA_API_KEY=your-api-key
```

```typescript
import { Agent } from "@mastra/core";

const agent = new Agent({
  name: "my-agent",
  instructions: "You are a helpful assistant",
  model: "llama/cerebras-llama-4-maverick-17b-128e-instruct"
});

// Generate a response
const response = await agent.generate("Hello!");

// Stream a response
const stream = await agent.stream("Tell me a story");
for await (const chunk of stream) {
  console.log(chunk);
}
```

:::info

Mastra uses the OpenAI-compatible `/chat/completions` endpoint. Some provider-specific features may not be available. Check the [Llama documentation](https://llama.developer.meta.com/docs/models) for details.

:::

## Models

<ProviderModelsTable
  models={[
  {
    "model": "llama/cerebras-llama-4-maverick-17b-128e-instruct",
    "imageInput": false,
    "audioInput": false,
    "videoInput": false,
    "toolUsage": true,
    "reasoning": false,
    "contextWindow": 128000,
    "maxOutput": 4096,
    "inputCost": null,
    "outputCost": null
  },
  {
    "model": "llama/cerebras-llama-4-scout-17b-16e-instruct",
    "imageInput": false,
    "audioInput": false,
    "videoInput": false,
    "toolUsage": true,
    "reasoning": false,
    "contextWindow": 128000,
    "maxOutput": 4096,
    "inputCost": null,
    "outputCost": null
  },
  {
    "model": "llama/groq-llama-4-maverick-17b-128e-instruct",
    "imageInput": false,
    "audioInput": false,
    "videoInput": false,
    "toolUsage": true,
    "reasoning": false,
    "contextWindow": 128000,
    "maxOutput": 4096,
    "inputCost": null,
    "outputCost": null
  },
  {
    "model": "llama/llama-3.3-70b-instruct",
    "imageInput": false,
    "audioInput": false,
    "videoInput": false,
    "toolUsage": true,
    "reasoning": false,
    "contextWindow": 128000,
    "maxOutput": 4096,
    "inputCost": null,
    "outputCost": null
  },
  {
    "model": "llama/llama-3.3-8b-instruct",
    "imageInput": false,
    "audioInput": false,
    "videoInput": false,
    "toolUsage": true,
    "reasoning": false,
    "contextWindow": 128000,
    "maxOutput": 4096,
    "inputCost": null,
    "outputCost": null
  },
  {
    "model": "llama/llama-4-maverick-17b-128e-instruct-fp8",
    "imageInput": true,
    "audioInput": false,
    "videoInput": false,
    "toolUsage": true,
    "reasoning": false,
    "contextWindow": 128000,
    "maxOutput": 4096,
    "inputCost": null,
    "outputCost": null
  },
  {
    "model": "llama/llama-4-scout-17b-16e-instruct-fp8",
    "imageInput": true,
    "audioInput": false,
    "videoInput": false,
    "toolUsage": true,
    "reasoning": false,
    "contextWindow": 128000,
    "maxOutput": 4096,
    "inputCost": null,
    "outputCost": null
  }
]}
/>

## Advanced Configuration

### Custom Headers

```typescript
const agent = new Agent({
  name: "custom-agent",
  model: {
    url: "https://api.llama.com/compat/v1/",
    id: "llama/cerebras-llama-4-maverick-17b-128e-instruct",
    apiKey: process.env.LLAMA_API_KEY,
    headers: {
      "X-Custom-Header": "value"
    }
  }
});
```

### Dynamic Model Selection

```typescript
const agent = new Agent({
  name: "dynamic-agent",
  model: ({ runtimeContext }) => {
    const useAdvanced = runtimeContext.task === "complex";
    return useAdvanced
      ? "llama/llama-4-scout-17b-16e-instruct-fp8"
      : "llama/cerebras-llama-4-maverick-17b-128e-instruct";
  }
});
```




---
title: "LMStudio | Models | Mastra"
description: "Use LMStudio models with Mastra. 3 models available."
---

{/* This file is auto-generated by generate-model-docs.ts - DO NOT EDIT MANUALLY */}