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Llama 3.2 3B Instruct SpinQuant INT4 EO8

Developed by meta-llama
Llama 3.2 is a 1B and 3B parameter-scale multilingual pre-trained and instruction-tuned generative model from Meta, optimized for multilingual dialogue use cases and supporting 8 official languages.
Downloads 30.02k
Release Time : 10/23/2024

Model Overview

Llama 3.2 includes 1B and 3B-scale pre-trained and instruction-tuned generative models, optimized for multilingual dialogue use cases, including agent retrieval and summarization tasks.

Model Features

Multilingual Support
Officially supports 8 languages, with broader training language coverage, allowing developers to fine-tune for other languages.
Efficient Inference
Uses Grouped Query Attention (GQA) to improve inference scalability and optimize deployment on mobile devices.
Long Context Handling
Supports 128k context length, suitable for processing long documents and complex dialogues.
Quantization Optimization
Offers SpinQuant and QLoRA quantization schemes, significantly reducing model size and improving inference speed.

Model Capabilities

Multilingual Text Generation
Dialogue Systems
Knowledge Retrieval
Text Summarization
Prompt Rewriting
Multi-turn Dialogue
Long Text Processing

Use Cases

Dialogue Assistants
Multilingual Chatbot
Build intelligent dialogue assistants supporting multiple languages.
Excellent performance across 8 official languages.
Content Generation
Multilingual Content Creation
Generate marketing copy, social media content, and more in multiple languages.
Supports fluent text generation.
Knowledge Retrieval
Enterprise Knowledge Base Q&A
Build Q&A systems based on enterprise documents.
Capable of accurately retrieving and summarizing information.
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