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Llama 3.2 3B Instruct Frog

Developed by phamhai
An RAG version of the LLaMA 3.2 model optimized for Vietnamese, developed based on Meta's lightweight LLM, suitable for local and edge device deployment.
Downloads 2,040
Release Time : 10/22/2024

Model Overview

A language model optimized for Vietnamese Retrieval Augmented Generation (RAG) tasks, providing efficient Vietnamese text generation capabilities.

Model Features

Vietnamese Optimization
Specifically optimized for Vietnamese RAG tasks, providing better Vietnamese support
Lightweight and High-Efficiency
With a scale of 3 billion parameters, suitable for local and edge device deployment
Long Context Support
Supports a context length of 131K
Function Call Capability
Performs excellently in the Vietnamese function call benchmark test

Model Capabilities

Vietnamese Text Generation
Retrieval Augmented Generation (RAG)
Question Answering System
Text Summarization
Function Call

Use Cases

Customer Service
Vietnamese Virtual Assistant
Can serve as a Vietnamese customer service chatbot
Can conduct natural and fluent Vietnamese conversations
Financial Analysis
Financial News Summarization
Performs summarization and analysis on Vietnamese financial news
Can accurately extract key information and generate concise summaries
Education
Vietnamese Learning Assistant
Helps learners practice Vietnamese conversations
Provides a natural and fluent Vietnamese interaction experience
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