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Llama 3.1 405B

Developed by meta-llama
LLaMA 3.1 is a multilingual large language model series released by Meta, available in 8B, 70B, and 405B sizes, supporting 8 languages, with outstanding performance in industry benchmarks.
Downloads 19.20k
Release Time : 7/16/2024

Model Overview

An autoregressive language model based on an optimized Transformer architecture, aligned with human preferences through supervised fine-tuning and reinforcement learning from human feedback, suitable for multilingual dialogue and text generation tasks.

Model Features

Multilingual support
Native support for 8 languages with excellent performance in multilingual benchmarks
Ultra-long context
Supports 128k tokens context length, ideal for processing long documents
Security protection
Integrated with LLaMA Guard 3 and other security tools for multi-layered risk control
Efficient inference
Utilizes GQA (Grouped Query Attention) technology to enhance inference efficiency

Model Capabilities

Multilingual text generation
Instruction-following dialogue
Code generation
Cross-language knowledge Q&A
Long document comprehension

Use Cases

Business applications
Multilingual customer service assistant
Deploy intelligent customer service systems supporting 8 languages
Achieved 84.95% accuracy in Portuguese on MMLU tests
Research and development
Model fine-tuning foundation
Serves as a pre-training base for domain-specific models
Supports improving other models through output
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