L

Llama 3 8b Quantized

Developed by SweatyCrayfish
The 4-bit quantized version of the Llama 3 model, which optimizes memory usage and speeds up inference, suitable for environments with limited computing resources.
Downloads 2,037
Release Time : 4/20/2024

Model Overview

Based on the 8B parameter model of Llama 3, 4-bit quantization is performed, significantly reducing memory usage and improving inference efficiency, suitable for deployment on resource-constrained devices.

Model Features

Memory-efficient
Significantly reduces memory usage through 4-bit quantization technology, allowing deployment on devices with limited memory.
Inference acceleration
Can speed up inference based on the hardware's ability to handle low-bit calculations.
Ease of use
Provides simple loading and usage examples for easy and quick integration into existing projects.

Model Capabilities

Text generation
Language understanding
Contextual reasoning

Use Cases

Deployment in resource-constrained environments
Edge device deployment
Run large language models on edge devices with limited memory.
Lower the hardware threshold, enabling more devices to run advanced language models.
Efficient inference applications
Real-time chat applications
Used in dialogue systems that require fast responses.
Improve response speed and enhance user experience.
Featured Recommended AI Models
AIbase
Empowering the Future, Your AI Solution Knowledge Base
© 2025AIbase