Llama-3 70B Gradient Instruct 1048k

1048K

0.000525

70B

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Llama-3 70B Gradient Instruct 1048k

Explore the Llama-3 70B Gradient Instruct 1048k API, a cutting-edge language model with extended context length and state-of-the-art performance.

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Create 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: 'gradientai/Llama-3-70B-Instruct-Gradient-1048k',
    messages: [
      {
        role: 'system',
        content: 'You are SQL code assistant.',
      },
      {
        role: 'user',
        content: 'Could you please provide me with an example of a database structure that I could use for a project in MySQL?'
      }
    ],
  });

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

main();

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Llama-3 70B Gradient Instruct 1048k

Llama-3 70B Gradient Instruct 1048k: Pushing long-context language model boundaries

Model Overview Card for Llama-3 70B Gradient Instruct 1048k

Basic Information

Model Name: Llama-3 70B Gradient Instruct 1048k
Developer/Creator: Gradient
Release Date: May 16, 2024
Version: 1.0
Model Type: Text-based LLM

Description

Overview

The Llama-3 70B Gradient Instruct 1048k model is a state-of-the-art text-based large language model from Gradient AI designed to handle extensive context lengths, extending from the traditional 8k tokens to over 1,048k tokens. This capability allows the model to perform complex reasoning and generate coherent outputs over significantly larger inputs, making it suitable for applications requiring deep understanding and context retention.

Key Features

Extended context length from 8k to > 1040k tokens
Instruction-tuned for improved dialogue and chat abilities
Minimal training data required (< 0.01% of Llama-3's original pre-training data)
Progressive training on increasing context lengths for optimal performance

Intended Use

This model is designed for various applications, including but not limited to:

Document summarization
Question answering systems
Long-form content generation
Autonomous agents for business operations

Technical Details

Architecture

The Llama-3 70B Gradient Instruct 1048k model is based on the Transformer architecture, which is known for its efficiency in handling sequential data and long-range dependencies.

Training Data

The model was trained on a total of approximately 430 million tokens, with 34 million tokens specifically for the final training stage. The data sources include augmented datasets from SlimPajama and UltraChat, ensuring a diverse range of contexts and styles.

Data Source and Size

Total Training Tokens: ~430M
Final Stage Tokens: 34M
Original Pre-training Data: Less than 0.003% of Llama-3's original dataset.

Performance Metrics

Context Length Evaluation: Capable of processing contexts up to 1,048k tokens.
Inference Speed: Optimized for real-time applications with high throughput.

Benchmarks

The Llama-3 70B Gradient Instruct 1048k demonstrates impressive performance on common industry benchmarks, outperforming many available open-source chat models. It also showcases the potential for SOTA LLMs to learn to operate on long contexts with minimal training by appropriately adjusting RoPE theta.

Usage

Code Samples

The model is available on the AI/ML API platform as "gradientai/Llama-3-70B-Instruct-Gradient-1048k".

Create 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: 'gradientai/Llama-3-70B-Instruct-Gradient-1048k',
    messages: [
      {
        role: 'system',
        content: 'You are SQL code assistant.',
      },
      {
        role: 'user',
        content: 'Could you please provide me with an example of a database structure that I could use for a project in MySQL?'
      }
    ],
  });

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

main();

API Documentation

Detailed API Documentation is available on the AI/ML API website, providing comprehensive guidelines for integration.

Ethical Guidelines

The development of the Llama-3 70B Gradient Instruct 1048k model adheres to ethical AI principles, focusing on transparency, fairness, and accountability in its applications.