Gemma2 Gutenberg 27B by nbeerbower

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Gemma2 Gutenberg 27B is an open-source language model by nbeerbower. Features: 27b LLM, VRAM: 54.7GB, Context: 8K, License: gemma, LLM Explorer Score: 0.18.

Base model:finetune:google/gem... Base model:google/gemma-2-27b-...   Conversational Dataset:jondurbin/gutenberg-dp...   Endpoints compatible   Gemma2   Region:us   Safetensors   Sharded   Tensorflow

Gemma2 Gutenberg 27B Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

Gemma2 Gutenberg 27B Parameters and Internals

Training Details 
Data Sources:
jondurbin/gutenberg-dpo-v0.1
Methodology:
ORPO
Hardware Used:
80GB A100 on RunPod
LLM NameGemma2 Gutenberg 27B
Repository 🤗https://huggingface.co/nbeerbower/gemma2-gutenberg-27B 
Base Model(s)  Gemma 2 27B It   google/gemma-2-27b-it
Model Size27b
Required VRAM54.7 GB
Updated2026-04-29
Maintainernbeerbower
Model Typegemma2
Model Files  4.7 GB: 1-of-12   4.9 GB: 2-of-12   4.9 GB: 3-of-12   5.0 GB: 4-of-12   4.9 GB: 5-of-12   4.9 GB: 6-of-12   5.0 GB: 7-of-12   4.9 GB: 8-of-12   4.9 GB: 9-of-12   5.0 GB: 10-of-12   4.9 GB: 11-of-12   0.7 GB: 12-of-12
Model ArchitectureGemma2ForCausalLM
Licensegemma
Context Length8192
Model Max Length8192
Transformers Version4.44.2
Tokenizer ClassGemmaTokenizer
Padding Token<pad>
Vocabulary Size256000
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than nbeerbower/gemma2-gutenberg-27B.

Rank the Gemma2 Gutenberg 27B 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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Release v20260328a