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QQQ Llama 3 8b G128
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QQQ Llama 3 8b G128

Developed by HandH1998
This is a version of the Llama-3-8b model quantized to INT4, using the QQQ quantization technique with a group size of 128 and optimized for hardware.
Large Language Model
Transformers
Open Source License:MIT#W4A8 Quantization#Hardware Optimization#Low-Resource Inference
Downloads 1,708
Release Time : 7/10/2024

Model Overview

INT4 Llama-3-8b is a quantized language model mainly used for efficient text generation and natural language processing tasks.

Model Features

INT4 Quantization
Using INT4 quantization technology, significantly reducing the model size and computational resource requirements.
Hardware Optimization
The QQQ quantization scheme is optimized for hardware to improve inference efficiency.
Group Quantization
Using group quantization technology with a group size of 128 to balance accuracy and efficiency.

Model Capabilities

Text Generation
Natural Language Understanding
Multi-round Dialogue

Use Cases

Efficient Inference
Edge Device Deployment
Deploy an efficient text generation model on resource-constrained edge devices.
Reduce memory usage and computational requirements and improve inference speed.
Research Application
Quantization Technology Research
Used to study the impact of low-bit quantization on the performance of large language models.
Provide practical cases and benchmarks for INT4 quantization.
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