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Gemma 3 27b It Abliterated Q4 K M GGUF

Developed by NovNovikov
This model is a GGUF format conversion based on mlabonne/gemma-3-27b-it-abliterated, suitable for inference tasks in the llama.cpp framework.
Downloads 341
Release Time : 3/17/2025

Model Overview

This is a 27B parameter multimodal model supporting image-text-to-text conversion tasks, applicable to various generation and comprehension tasks.

Model Features

GGUF Format Optimization
Converted to GGUF format for efficient operation in the llama.cpp framework.
Multimodal Support
Supports image-text-to-text conversion tasks with multimodal processing capabilities.
Large Parameter Scale
27B parameter scale with strong comprehension and generation capabilities.

Model Capabilities

Text Generation
Image-Text Understanding
Multimodal Reasoning

Use Cases

Content Generation
Image Caption Generation
Generates detailed descriptions based on input image-text.
Produces accurate and expressive image captions.
Question Answering Systems
Multimodal Q&A
Answers complex questions by combining image and text information.
Provides accurate and contextually relevant answers.
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