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MT Gemma 3 12B
M
MT Gemma 3 12B
Developed by zelk12
This project uses the mergekit and DARE TIES methods to merge the soob3123/amoral-gemma3-12B-v2 and IlyaGusev/saiga_gemma3_12b models, aiming to provide more powerful language processing capabilities.
Downloads 1,348
Release Time : 5/2/2025
Model Overview
By combining the advantages of multiple pre-trained language models, it solves the problem of insufficient performance of a single model in certain scenarios and provides more comprehensive language processing capabilities.
Model Features
Model merging technology
Adopt the advanced DARE TIES merging method to combine the advantages of multiple models
High-performance processing
Based on the Gemma3 architecture with 12B parameters, it provides powerful language processing capabilities
Integration of multi-model advantages
Integrate the characteristics of the amoral-gemma3 and saiga_gemma3 models
Model Capabilities
Text generation
Language understanding
Multi-modal processing
Use Cases
Natural language processing
Multi-language text generation
Generate high-quality multi-language text content
Complex language understanding
Process and understand complex language structures and meanings
Multi-modal applications
Image to text conversion
Convert image content into descriptive text
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