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Llama 3.2 1B

Developed by meta-llama
Llama 3.2 is a multilingual large language model series launched by Meta, including 1B and 3B parameter pre-trained and instruction-tuned generative models, optimized for multilingual dialogue scenarios, supporting agent retrieval and summarization tasks.
Downloads 2.1M
Release Time : 9/18/2024

Model Overview

The Llama 3.2 series is based on an optimized Transformer architecture for autoregressive language models, aligned with human preferences through supervised fine-tuning and human feedback reinforcement learning, supporting multilingual text generation and code generation.

Model Features

Multilingual Support
Officially supports 8 languages, with training covering a broader range of languages; developers can fine-tune models for other languages.
Long Context Handling
Supports 128k context length, suitable for processing long documents and complex dialogue scenarios.
Efficient Quantization
Employs a three-stage quantization scheme, including 4-bit and 8-bit quantization, reducing deployment resource requirements.
Secure Deployment
Provides a triple-layer security strategy, including safeguards against adversarial misuse and community protection mechanisms.

Model Capabilities

Multilingual Text Generation
Code Generation
Dialogue Systems
Agent Retrieval
Text Summarization

Use Cases

Multilingual Dialogue
Multilingual Customer Service System
Build intelligent customer service systems supporting multiple languages
Outperforms most open-source and closed-source chat models in officially supported languages
Content Generation
Multilingual Content Creation
Automatically generate multilingual marketing copy or news summaries
3B model scores 63.4 in English and 55.1 in Chinese on the MMLU benchmark
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