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Llama 3 8B Instruct GPTQ 4 Bit

Developed by astronomer
This is a 4-bit quantized GPTQ model based on Meta Llama 3, quantized by Astronomer, capable of efficient operation on low-VRAM devices.
Downloads 2,059
Release Time : 4/19/2024

Model Overview

This model is a 4-bit quantized version of Meta-Llama-3-8B-Instruct, optimized for efficient operation on resource-limited GPUs while maintaining high generation quality.

Model Features

Efficient quantization
4-bit GPTQ quantization technology significantly reduces model size and VRAM requirements while maintaining high generation quality.
Low-resource operation
Can run on devices with less than 6GB VRAM, suitable for entry-level GPUs like Nvidia T4 and K80.
Optimized inference
Supports various inference frameworks such as vLLM and text-generation-webui, providing efficient text generation services.

Model Capabilities

Instruction following
Text generation
Question answering
Dialogue system

Use Cases

Dialogue system
Intelligent assistant
Build responsive and highly understanding conversational assistants
Can provide smooth conversational experiences in resource-limited environments
Content generation
Text creation
Generate various types of textual content
Maintains over 90% of the original model's generation quality
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