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Llama 3.3 70B Instruct Abliterated GGUF

Developed by bartowski
A 70B-parameter large language model based on the Llama 3.3 architecture, supporting multilingual text generation tasks, optimized through quantization for various hardware environments
Downloads 7,786
Release Time : 4/25/2025

Model Overview

This is a quantized and optimized 70B-parameter large language model based on Meta's Llama 3.3 architecture, supporting text generation and instruction-following tasks in multiple languages

Model Features

Multilingual support
Supports text generation tasks in 8 languages, including mainstream languages such as English, French, and Spanish
Efficient quantization
Utilizes llama.cpp's matrix optimization technology for quantization, offering multiple quantization options to suit different hardware requirements
Instruction following
Specially optimized for instruction-following capabilities, ideal for building dialogue systems and AI assistant applications

Model Capabilities

Text generation
Multilingual processing
Instruction understanding and execution
Dialogue system construction

Use Cases

Dialogue systems
AI assistant
Build multilingual AI assistants that understand and respond to user instructions
Capable of generating natural and fluent conversational responses
Content creation
Multilingual content generation
Automatically generate marketing copy, articles, and other content in multiple languages
Supports creative text output in 8 languages
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