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Gemma 3 27B It Qat GGUF

Developed by lmstudio-community
The Gemma 3 27B IT model, introduced by Google, is suitable for various text generation and image understanding tasks, supporting a context length of 128k tokens and multimodal image processing.
Downloads 41.35k
Release Time : 4/18/2025

Model Overview

The Gemma 3 model is a versatile text generation and image understanding model, suitable for tasks such as Q&A, summarization, and reasoning. Optimized through quantization-aware training to enhance 4-bit performance.

Model Features

Quantization-aware training optimization
Optimized through quantization-aware training to enhance 4-bit performance.
Long context support
Supports a context length of 128k tokens, with a maximum output of 8192.
Multimodal image processing
Supports multimodal image processing with a normalized resolution of 896 x 896.

Model Capabilities

Text generation
Image understanding
Q&A
Summarization
Reasoning

Use Cases

Text generation
Q&A system
Used to build efficient Q&A systems, providing accurate answers.
Content summarization
Generates concise summaries of long texts to improve information retrieval efficiency.
Image understanding
Image caption generation
Generates detailed textual descriptions based on image content.
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