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Gemma 3 27b It Quantized.w4a16

Developed by RedHatAI
This is a quantized version of google/gemma-3-27b-it, supporting visual-text input and text output. Optimized through weight quantization and activation quantization, it enables efficient inference with vLLM.
Downloads 302
Release Time : 6/4/2025

Model Overview

A quantized model based on google/gemma-3-27b-it, supporting multimodal input and text generation, suitable for scenarios requiring efficient inference.

Model Features

Efficient quantization
Adopts INT4 weight quantization and FP16 activation quantization, significantly reducing model size and inference resource requirements.
Multimodal support
Supports visual-text input and can handle complex tasks combining images and text.
Efficient inference
After optimization, it can be efficiently deployed and inferred through vLLM, improving processing speed.

Model Capabilities

Multimodal understanding
Text generation
Image content analysis

Use Cases

Content understanding and generation
Image content description
Analyze image content and generate descriptive text
Accurately identify the main elements and scenes in the image
Multimodal dialogue
Conduct intelligent dialogue by combining image and text input
Provide coherent answers related to the image content
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