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Gemma 3 4b It Abliterated GGUF
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Gemma 3 4b It Abliterated GGUF

Developed by matrixportal
This model is a GGUF format version converted from mlabonne/gemma-3-4b-it-abliterated, suitable for local operation and inference.
Large Language Model
Transformers
#Lightweight Inference#Multi-language Support#Local Deployment
Downloads 245
Release Time : 3/31/2025

Model Overview

This is a 3.4B parameter model based on the Gemma architecture, which has been quantized and converted to the GGUF format, suitable for running on local devices.

Model Features

Multiple Quantization Versions
Provide multiple quantization versions from Q2_K to F16 to meet different hardware and performance requirements.
Local Operation Support
Through the GGUF format, it can run efficiently on local devices without relying on cloud services.
Balance Performance and Quality
The recommended quantization version (such as Q4_K_M) achieves a good balance between speed and quality.

Model Capabilities

Text Generation
Image Text Understanding
Local Inference

Use Cases

Local AI Applications
Offline Chat Assistant
Run a chat assistant in a network-free environment to provide text generation and dialogue functions.
Image Description Generation
Generate detailed descriptions or answer relevant questions based on the input image text.
Development and Research
Model Quantization Research
Study the impact of different quantization levels on model performance and effects.
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