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Llama 3.1 405B Instruct

Developed by meta-llama
Llama 3.1 is a multilingual large language model series developed by Meta, including 8B, 70B, and 405B scales, supporting multilingual text generation and code generation tasks.
Downloads 34.83k
Release Time : 4/25/2025

Model Overview

Llama 3.1 is a multilingual large language model series optimized for multilingual conversation scenarios, supporting a 128k context length and utilizing Grouped Query Attention (GQA) mechanism.

Model Features

Multilingual support
Supports text generation and conversation tasks in multiple languages, including English, German, French, etc.
128k context length
Supports up to 128k context length, suitable for long-text tasks.
Grouped Query Attention (GQA) mechanism
Utilizes GQA mechanism to improve computational efficiency and performance.
Instruction tuning optimization
Aligns with human preferences through supervised fine-tuning (SFT) and reinforcement learning from human feedback (RLHF), optimizing performance in conversation scenarios.

Model Capabilities

Multilingual text generation
Code generation
Multilingual conversation
Common-sense reasoning
Reading comprehension
Mathematical ability
Tool calling

Use Cases

Business and Research
Multilingual conversation assistant
A multilingual conversation assistant for business scenarios, supporting user interactions in multiple languages.
Outperforms most open-source and closed-source chat models in common industry benchmarks.
Text generation tasks
Suitable for various text generation tasks, such as article creation and summarization.
Performs excellently in benchmarks like MMLU and TriviaQA.
Code generation
Code completion and generation
Supports code generation and completion tasks, suitable for developer tools.
Achieves a high pass@1 score of 89.0 in the HumanEval benchmark.
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