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Gemma 4 31B It PolarQuant Q5 by caiovicentino1

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Gemma 4 31B It PolarQuant Q5 is an open-source language model by caiovicentino1. Features: 31b LLM, VRAM: 21.4GB, License: apache-2.0, Quantized, LLM Explorer Score: 0.27.

  Arxiv:2603.29078   4-bit Base model:google/gemma-4-31b-... Base model:quantized:google/ge...   Conversational   Gemma4   Kv-cache-compression   Polarengine   Polarquant   Q5   Quantized   Region:us
Model Card on HF 🤗: https://huggingface.co/caiovicentino1/Gemma-4-31B-it-PolarQuant-Q5 

Gemma 4 31B It PolarQuant Q5 Benchmarks

LLME Score: 0.269
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Gemma 4 31B It PolarQuant Q5 (caiovicentino1/Gemma-4-31B-it-PolarQuant-Q5)
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Gemma 4 31B It PolarQuant Q5 Parameters and Internals

LLM NameGemma 4 31B It PolarQuant Q5
Repository 🤗https://huggingface.co/caiovicentino1/Gemma-4-31B-it-PolarQuant-Q5 
Base Model(s)  Gemma 4 31B It   google/gemma-4-31B-it
Model Size31b
Required VRAM21.4 GB
Updated2026-04-10
Maintainercaiovicentino1
Model Typegemma4
Model Files  21.4 GB
Quantization Typeq5
Model ArchitectureGemma4ForConditionalGeneration
Licenseapache-2.0
Transformers Version5.5.0.dev0
Tokenizer ClassGemmaTokenizer
Padding Token<pad>

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Note: green Score (e.g. "73.2") means that the model is better than caiovicentino1/Gemma-4-31B-it-PolarQuant-Q5.

Rank the Gemma 4 31B It PolarQuant Q5 Capabilities

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Instruction Following and Task Automation  
Factuality and Completeness of Knowledge  
Censorship and Alignment  
Data Analysis and Insight Generation  
Text Generation  
Text Summarization and Feature Extraction  
Code Generation  
Multi-Language Support and Translation  

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