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Gemma 4 31B It Heretic by coder3101

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Gemma 4 31B It Heretic is an open-source language model by coder3101. Features: 31b LLM, VRAM: 62.5GB, License: apache-2.0, LLM Explorer Score: 0.31.

  Abliterated   Ara Base model:finetune:google/gem... Base model:google/gemma-4-31b-...   Decensored   Endpoints compatible   Heretic   Image-text-to-text   Region:us   Safetensors   Sharded   Tensorflow   Uncensored
Model Card on HF 🤗: https://huggingface.co/coder3101/gemma-4-31B-it-heretic 

Gemma 4 31B It Heretic Benchmarks

LLME Score: 0.30754
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 Heretic (coder3101/gemma-4-31B-it-heretic)

Gemma 4 31B It Heretic Parameters and Internals

LLM NameGemma 4 31B It Heretic
Repository 🤗https://huggingface.co/coder3101/gemma-4-31B-it-heretic 
Base Model(s)  Gemma 4 31B It   google/gemma-4-31B-it
Model Size31b
Required VRAM62.5 GB
Updated2026-07-10
Maintainercoder3101
Model Typegemma4
Model Files  49.9 GB: 1-of-2   12.6 GB: 2-of-2
Model ArchitectureGemma4ForConditionalGeneration
Licenseapache-2.0
Transformers Version5.5.0.dev0
Tokenizer ClassGemmaTokenizer
Padding Token<pad>

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Gemma 4 31B It0K / 62.6 GB107066252780
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Gemma 4 31B It Abliterated0K / 62.5 GB25464422
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Pantheon Reasoning 31B 1.10K / 65.4 GB43919
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Gemma 4 31B It Bf160K / 62.6 GB331313
Gemma4 Gutenberg 31B Heretic0K / 62.5 GB2309
Note: green Score (e.g. "73.2") means that the model is better than coder3101/gemma-4-31B-it-heretic.

Rank the Gemma 4 31B It Heretic Capabilities

🆘 Have you tried this model? Rate its performance. This feedback would greatly assist ML community in identifying the most suitable model for their needs. Your contribution really does make a difference! 🌟

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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