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Gemma 3 27b It Qat Compressed Tensors

Developed by gaunernst
Gemma 3 is a lightweight and advanced open model series launched by Google, built on the same research and technology as the Gemini model. This version is an instruction-tuned model with 27B parameters, using quantization-aware training (QAT) and compressed tensor technology.
Downloads 1,985
Release Time : 4/8/2025

Model Overview

Gemma 3 is a multimodal model that can process text and image inputs and generate text outputs. It is suitable for various tasks such as question answering, summarization, and reasoning. Its relatively small size enables it to be deployed in resource-constrained environments.

Model Features

Multimodal capabilities
Can process text and image inputs simultaneously and generate text outputs
Large context window
Supports a context length of 128K tokens
Quantization-aware training
Uses QAT technology to maintain performance while reducing memory requirements
Multilingual support
Supports over 140 languages

Model Capabilities

Text generation
Image analysis
Question answering system
Document summarization
Code understanding
Mathematical reasoning

Use Cases

Content generation
Poetry creation
Generate poetry based on prompts
Can generate poetry that meets the theme and style
Document summarization
Automatically generate a concise summary of a long document
Extract key information and generate a coherent summary
Image understanding
Image description
Analyze the image content and generate a description
Accurately describe the objects and scenes in the image
Education
Mathematical problem solving
Solve mathematical problems and proofs
Can handle mathematical problems of various difficulties
Programming assistance
Code generation and explanation
Can generate functional code and explain its logic
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