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Big Tiger Gemma 27B V3 by TheDrummer

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Big Tiger Gemma 27B V3 is an open-source language model by TheDrummer. Features: 27b LLM, VRAM: 55.3GB, LLM Explorer Score: 0.21.

Base model:finetune:google/gem... Base model:google/gemma-3-27b-...   Gemma3   Pytorch   Region:us   Sharded
Model Card on HF 🤗: https://huggingface.co/TheDrummer/Big-Tiger-Gemma-27B-v3 

Big Tiger Gemma 27B V3 Benchmarks

LLME Score: 0.21069
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Big Tiger Gemma 27B V3 (TheDrummer/Big-Tiger-Gemma-27B-v3)
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Big Tiger Gemma 27B V3 Parameters and Internals

LLM NameBig Tiger Gemma 27B V3
Repository 🤗https://huggingface.co/TheDrummer/Big-Tiger-Gemma-27B-v3 
Base Model(s)  google/gemma-3-27b-it   google/gemma-3-27b-it
Model Size27b
Required VRAM55.3 GB
Updated2026-05-06
MaintainerTheDrummer
Model Typegemma3
Model Files  4.8 GB: 1-of-12   5.0 GB: 2-of-12   5.0 GB: 3-of-12   5.0 GB: 4-of-12   5.0 GB: 5-of-12   5.0 GB: 6-of-12   5.0 GB: 7-of-12   5.0 GB: 8-of-12   5.0 GB: 9-of-12   5.0 GB: 10-of-12   5.0 GB: 11-of-12   0.5 GB: 12-of-12
Model ArchitectureGemma3ForConditionalGeneration
Transformers Version4.52.4
Tokenizer ClassGemmaTokenizer
Padding Token<pad>
Torch Data Typebfloat16

Best Alternatives to Big Tiger Gemma 27B V3

Best Alternatives
Context / RAM
Downloads
Likes
Fallen Gemma3 27B V1128K / 55.3 GB19846
Gemma 3 R1 27B V10K / 55.3 GB2826
CardProjector 27B V40K / 55.3 GB10927
CardProjector 27B V40K / 55.3 GB2035
Translategemma 27B It 4bit0K / 15.2 GB3443
Translategemma 27B It 8bit0K / 28.8 GB2973
Gemma 3 27B It 4bit DWQ0K / 16 GB1423
Gemma 3 Text 27B It 4bit0K / 16 GB1402
Note: green Score (e.g. "73.2") means that the model is better than TheDrummer/Big-Tiger-Gemma-27B-v3.

Rank the Big Tiger Gemma 27B V3 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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