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Gemma 4 31B Storymaxxed2 by MRockatansky

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Gemma 4 31B Storymaxxed2 is an open-source language model by MRockatansky. Features: 31b LLM, VRAM: 62.5GB, License: gemma, LLM Explorer Score: 0.29.

  Arxiv:2305.18290 Base model:finetune:trohrbaugh... Base model:trohrbaugh/gemma-4-...   Conversational   Creative-writing   Dpo   Gemma4   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/MRockatansky/Gemma-4-31B-storymaxxed2 

Gemma 4 31B Storymaxxed2 Benchmarks

LLME Score: 0.28982
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 Storymaxxed2 (MRockatansky/Gemma-4-31B-storymaxxed2)
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Gemma 4 31B Storymaxxed2 Parameters and Internals

LLM NameGemma 4 31B Storymaxxed2
Repository 🤗https://huggingface.co/MRockatansky/Gemma-4-31B-storymaxxed2 
Base Model(s)  trohrbaugh/gemma-4-31b-it-heretic-ara   trohrbaugh/gemma-4-31b-it-heretic-ara
Model Size31b
Required VRAM62.5 GB
Updated2026-05-26
MaintainerMRockatansky
Model Typegemma4
Model Files  49.9 GB: 1-of-2   12.6 GB: 2-of-2
Model ArchitectureGemma4ForConditionalGeneration
Licensegemma
Transformers Version5.9.0
Tokenizer ClassGemmaTokenizer
Padding Token<pad>

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Gemma 4 31B It0K / 62.6 GB107066252780
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Gemma 4 31B Storymaxxed0K / 62.5 GB1390
Gemma4 GarnetV2 31B0K / 62.6 GB32413
Note: green Score (e.g. "73.2") means that the model is better than MRockatansky/Gemma-4-31B-storymaxxed2.

Rank the Gemma 4 31B Storymaxxed2 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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