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Llama 3.3 70B Instruct Abliterated Finetuned GPTQ Int8

Developed by huihui-ai
This is the GPTQ 8-bit quantized version of the Llama-3.3-70B-Instruct model, fine-tuned and optimized for conversational reasoning tasks.
Downloads 7,694
Release Time : 12/22/2024

Model Overview

This model is a quantized large-scale language model focused on instruction-following and dialogue generation tasks, providing efficient inference capabilities.

Model Features

Efficient Quantization
Uses the GPTQ algorithm for 8-bit quantization, significantly reducing model size and memory requirements while maintaining high performance.
Instruction Fine-tuning
Optimized with fine-tuning on specific instruction sets, making it more suitable for dialogue and instruction-following tasks.
Large-scale Parameters
With 70 billion parameters, it possesses powerful language understanding and generation capabilities.

Model Capabilities

Text Generation
Dialogue Systems
Instruction Understanding and Execution
Context-aware Responses

Use Cases

Intelligent Assistants
Virtual Customer Service
Used to build automated customer service systems to handle user queries.
Capable of understanding complex questions and providing relevant answers.
Personal Assistant
Acts as a personal digital assistant to help with daily tasks.
Can engage in natural conversations and provide useful information.
Content Generation
Creative Writing
Assists writers in story creation and content brainstorming.
Capable of generating coherent and creative text.
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