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Meta Llama 3 70B Instruct

Developed by meta-llama
Meta Llama 3 70B Instruct is a 70-billion-parameter instruction-tuned large language model released by Meta, optimized for conversational scenarios with excellent performance in helpfulness and safety.
Downloads 407.38k
Release Time : 4/17/2024

Model Overview

Llama 3 is a series of large language models developed by Meta, including 8B and 70B parameter variants for pre-training and instruction tuning. The instruction-tuned models are optimized for conversational use cases and outperform many open-source chat models on common benchmarks.

Model Features

Optimized Dialogue Performance
Optimized through supervised fine-tuning (SFT) and reinforcement learning with human feedback (RLHF), excelling in conversational scenarios
Large-scale Training Data
Trained on a mix of over 15T tokens of new publicly available online data
Long Context Handling
Supports context lengths of up to 8k tokens, suitable for processing long documents and complex dialogues
Safety Assurance
Special emphasis on model safety and responsible usage during development

Model Capabilities

Text Generation
Code Generation
Dialogue Systems
Question Answering Systems
Content Creation

Use Cases

Conversational Assistants
Intelligent Customer Service
Used to build customer service systems capable of understanding complex questions and providing accurate answers
Delivers natural and smooth conversational experiences
Personal Assistant
Acts as a personal digital assistant to handle daily tasks and answer questions
Helps users efficiently obtain information and complete tasks
Content Creation
Article Writing
Assists creators in generating article drafts, rewriting content, or providing writing suggestions
Improves content creation efficiency
Creative Writing
Generates creative content such as stories and poems
Inspires creative ideas
Programming Assistance
Code Generation
Generates code snippets based on natural language descriptions
Enhances development efficiency
Code Explanation
Explains the functionality and logic of complex code
Helps developers understand code
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