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Llama 3.1 405B Instruct FP8

Developed by meta-llama
Meta Llama 3.1 is a multilingual large language model series, including pre-trained and instruction-tuned generative models with 8B, 70B, and 405B scales. The 405B version is optimized for multilingual dialogue scenarios and performs excellently in common industry benchmarks.
Downloads 7,406
Release Time : 7/20/2024

Model Overview

The Llama 3.1 plain-text instruction-tuned model is designed for multilingual commercial and research purposes, suitable for assistant-like chat scenarios, supporting 8 languages including English, German, French, etc., and can be used to improve other models.

Model Features

Multilingual support
Natively supports 8 major languages, including English, German, French, etc., optimized for multilingual dialogue scenarios
Long context processing
Supports 128k token context length, suitable for processing long documents and complex dialogues
Human preference alignment
Optimized for human preferences through supervised fine-tuning (SFT) and reinforcement learning from human feedback (RLHF)
High-performance inference
Uses GQA (Grouped Query Attention) technology to improve inference efficiency

Model Capabilities

Multilingual text generation
Code generation
Dialogue systems
Instruction following
Knowledge Q&A

Use Cases

Commercial applications
Multilingual customer service assistant
Deployed as an intelligent customer service system supporting multiple languages
Reduces manual customer service costs and improves response speed
Content creation
Assists in generating multilingual marketing copy and creative content
Research and development
Model distillation
Uses model outputs to improve other smaller models
Enhances performance of smaller models
Synthetic data generation
Generates training data for other AI systems
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