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Llama 3.1 70B Instruct

Developed by meta-llama
Meta Llama 3.1 is a set of pretrained and instruction-tuned generative models with 8B, 70B, and 405B parameters, optimized for multilingual conversation scenarios, supporting 8 languages and code generation.
Downloads 1.2M
Release Time : 7/16/2024

Model Overview

The Llama 3.1 plain-text instruction-tuned model focuses on multilingual conversational assistant applications, employing an optimized Transformer architecture aligned with human preferences through supervised fine-tuning and reinforcement learning from human feedback.

Model Features

Multilingual support
Supports text generation and conversation in 8 languages, with potential for expansion to more languages
Long-context processing
Supports context lengths of 128k tokens, suitable for processing long documents and complex conversations
Tool calling capability
Supports integration with external tools and APIs to enhance model functionality
Efficient inference
Utilizes Grouped Query Attention (GQA) mechanism to improve inference efficiency

Model Capabilities

Multilingual text generation
Code generation
Dialogue systems
Tool calling
Knowledge Q&A
Reading comprehension
Mathematical reasoning

Use Cases

Commercial applications
Multilingual customer service assistant
Provides multilingual customer support services for enterprises
Achieves over 80% accuracy in supported languages
Business intelligence analysis
Processes and analyzes multilingual business documents
Capable of handling long documents up to 128k tokens
Research & development
Code-assisted development
Helps developers generate and optimize code
Achieves 89.0 pass@1 on HumanEval tests
Academic research assistant
Assists researchers with literature review and analysis
Achieves 85.2 macro-average accuracy on MMLU tests
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