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

# Vivian

> Vivian (vivian-llama3.1-70b-1.0-fp8) is our 70B parameter model based on Llama 3.1. It's specifically designed for natural conversation and relationship building, making it ideal for chatbots, virtual assistants, and other applications requiring engaging dialog.

## Key specifications

| Specification     | Value                                    |
| ----------------- | ---------------------------------------- |
| Parameters        | 70 billion                               |
| Base architecture | Llama 3.1                                |
| Context window    | 8,000 tokens                             |
| Input format      | Text                                     |
| Output format     | Text                                     |
| Knowledge cutoff  | Recent (check our changelog for updates) |

## Strengths

* **Natural conversation**: Vivian excels at maintaining engaging, human-like conversations
* **Relationship building**: Designed to build rapport and connections with users
* **General knowledge**: Has a broad understanding of various topics
* **Consistent responses**: Provides reliable and coherent answers
* **Efficient token usage**: Optimized for effective communication without unnecessary verbosity

## Use cases

Vivian is ideal for:

* Customer service chatbots
* Virtual assistants
* Educational tools
* Interactive storytelling
* Companionship applications
* Content creation assistance

## Example usage

```javascript theme={null}
import OpenAI from "openai";

const openai = new OpenAI({
  baseURL: "https://api.animusai.co/v2",
  apiKey: process.env.ANIMUS_API_KEY,
});

const completion = await openai.chat.completions.create({
  model: "vivian-llama3.1-70b-1.0-fp8",
  messages: [
    { 
      role: "system", 
      content: "You are a helpful assistant named Vivian. You're friendly, empathetic, and knowledgeable." 
    },
    {
      role: "user",
      content: "I'm feeling stressed about my upcoming job interview. Any advice?",
    },
  ],
});

console.log(completion.choices[0].message);
```

## Performance and limitations

While Vivian is a powerful conversational model, it has some limitations to keep in mind:

* **Complex reasoning**: For tasks requiring deep reasoning or problem-solving, consider using our Xavier model instead
* **Context window**: Limited to 8,000 tokens, which may restrict very long conversations
* **Specialized knowledge**: May not have expert-level knowledge in highly technical or specialized domains

## Token usage and optimization

To get the most out of Vivian while optimizing costs, consider these best practices:

* Keep system messages concise but descriptive
* Use relevant context but avoid unnecessary information
* Consider response length limits for your use case
* Test and optimize prompts to minimize token usage

For more detailed information about working with Vivian, see our [Text Generation](/essentials/text-generation) guide.