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Google Gemma 2 27b It AWQ
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Google Gemma 2 27b It AWQ

Developed by mbley
Gemma 2 27B IT is a 4-bit large language model based on AutoAWQ quantization, suitable for dialogue and instruction-following tasks.
Large Language Model
Safetensors
#4-bit quantization inference#Efficient chat template#Low-resource deployment
Downloads 122
Release Time : 4/8/2025

Model Overview

This model is a quantized version of a large language model, mainly used for natural language processing tasks, especially dialogue and instruction following.

Model Features

4-bit quantization
Use AutoAWQ for 4-bit quantization to reduce the resource requirements for model operation
Efficient inference
Adopt the GEMM version of the quantization configuration to optimize the inference speed
Dialogue optimization
Optimized specifically for dialogue and instruction-following tasks

Model Capabilities

Text generation
Dialogue system
Instruction understanding and execution

Use Cases

Dialogue system
Intelligent assistant
Build an intelligent dialogue assistant that can understand and respond to user instructions
Content generation
Text creation
Generate various types of text content according to instructions
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