Llama 3.1 70B Instruct Turbo (Deprecated)

Llama 3.1 70B Instruct Turbo Description

Basic Information

Model Name: Llama 3.1 70B Instruct Turbo

Developer/Creator: Meta

Release Date: July 23, 2024

Version: 3.1

Model Type: Text

Overview:

Llama 3.1 70B Instruct Turbo is a state-of-the-art instruction-tuned language model designed for multilingual dialogue use cases. It excels in natural language generation and understanding tasks, outperforming many existing models in the industry benchmarks.

Key Features:

• Multilingual support with optimized performance
• Advanced fine-tuning using supervised techniques and reinforcement learning
• High accuracy and robust inference capabilities
• Extended context window up to 128k tokens
• Integration capabilities with third-party tools

Intended Use:

• Commercial and research applications
• Assistant-like chatbots and virtual agents
• Natural language generation and understanding tasks
• Synthetic data generation and model distillation

Language Support:

• English, German, French, Italian, Portuguese, Hindi, Spanish, Thai

Technical Details

Architecture:

Llama 3.1 employs an optimized transformer architecture with auto-regressive capabilities. The model is fine-tuned using supervised fine-tuning (SFT) and reinforcement learning with human feedback (RLHF) to ensure alignment with human preferences for safety and helpfulness.

Training Data:

• Sources: Publicly available online data
• Size: ~15 trillion tokens
• Diversity: Comprehensive, multilingual datasets

Data Source and Size:

• Pretraining Data Volume: 15 trillion tokens
• Fine-Tuning Data: Over 25 million synthetically generated examples

Knowledge Cutoff: December 2023

Diversity and Bias:

The training data is diverse, encompassing multiple languages and domains. However, inherent biases from the data sources may persist, necessitating careful application and monitoring.

Performance Metrics

Accuracy:

• High accuracy across multiple benchmarks
• MMLU: 83.6 (70B instruct model)

Speed:

Efficient inference with Grouped-Query Attention (GQA) for improved scalability.

Robustness:

Capable of handling diverse inputs and generalizing across topics and languages.

Usage

Code Samples/SDK:

Ethical Guidelines:

‍Llama 3.1 Responsible Use Guide

License Type:

Llama 3.1 Community License (Custom commercial license)