Llama 3.1 8B Instruct Turbo

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Llama 3.1 8B Instruct Turbo

Llama 3.1 8B Instruct Turbo API: Advanced language model optimized for high-quality text generation and multilingual applications.

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Creates a chat completion

const { OpenAI } = require('openai');

const api = new OpenAI({
  baseURL: 'https://api.aimlapi.com/v1',
  apiKey: '<YOUR_API_KEY>',
});

const main = async () => {
  const result = await api.chat.completions.create({
    model: 'meta-llama/Meta-Llama-3-8B-Instruct-Turbo',
    messages: [
      {
        role: 'system',
        content: 'You are an AI assistant who knows everything.',
      },
      {
        role: 'user',
        content: 'Tell me, why is the sky blue?'
      }
    ],
  });

  const message = result.choices[0].message.content;
  console.log(`Assistant: ${message}`);
};

main();

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Llama 3.1 8B Instruct Turbo

Advanced language model for high-quality text generation and multilingual support.

Llama 3.1 8B Instruct Turbo Description

Basic Information

Model Name: Llama 3.1 8B Instruct Turbo

Developer/Creator: Meta AI

Release Date: July 2024

Version: 3.1

Model Type: Text Generation

Overview:

Llama 3.1 8B Instruct Turbo is an advanced language model designed for high-quality text generation, optimized for professional and industry applications requiring extensive GPU resources.

Key Features:

Advanced language generation capabilities
Optimized for high-performance GPU usage
Fine-tuned for instruction-based tasks
Multilingual support

Intended Use:

The model is designed for a variety of applications including natural language understanding, text generation, and multilingual semantic retrieval. It is particularly useful for professional and industry applications that demand high accuracy and performance.

Language Support:

English
French
Spanish
Urdu
Several other languages

Technical Details

Architecture:

The Llama 3.1 8B Instruct Turbo model is based on the Transformer architecture, which is known for its efficiency and scalability in handling large-scale language tasks.

Training Data:

The model was trained on a diverse dataset including sources like XQuAD, FQuAD, and MLQA, supplemented with synthetic data generated using OpenAI's GPT-3.5 Turbo. This ensures a comprehensive understanding of various contexts and languages.

Data Source and Size:

The training data includes a mix of publicly available datasets and synthetic data, amounting to several terabytes of text data. The diversity of the data helps in enhancing the model's ability to generalize across different topics and languages.

Knowledge Cutoff:

The model's knowledge is December 2023.

Diversity and Bias:

Efforts have been made to ensure the training data is diverse, covering multiple languages and contexts. However, like all large language models, it may still exhibit biases present in the training data.

Performance Metrics

Accuracy:

The model has demonstrated high accuracy in text generation tasks, with metrics such as F1 scores and BLEU scores indicating superior performance in generating contextually relevant and accurate responses.

Speed:

Llama 3.1 8B Instruct Turbo is optimized for high inference speed, making it suitable for real-time applications.

Robustness:

The model is robust in handling diverse inputs and can generalize well across different topics and languages, making it a reliable choice for various NLP tasks.

Usage

Code Samples

Creates a chat completion

const { OpenAI } = require('openai');

const api = new OpenAI({
  baseURL: 'https://api.aimlapi.com/v1',
  apiKey: '<YOUR_API_KEY>',
});

const main = async () => {
  const result = await api.chat.completions.create({
    model: 'meta-llama/Meta-Llama-3-8B-Instruct-Turbo',
    messages: [
      {
        role: 'system',
        content: 'You are an AI assistant who knows everything.',
      },
      {
        role: 'user',
        content: 'Tell me, why is the sky blue?'
      }
    ],
  });

  const message = result.choices[0].message.content;
  console.log(`Assistant: ${message}`);
};

main();