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Big Tiger Gemma 27B V1 by TheDrummer

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Big Tiger Gemma 27B V1 is an open-source language model by TheDrummer. Features: 27b LLM, VRAM: 54.7GB, Context: 8K, LLM Explorer Score: 0.15.

  Conversational   Endpoints compatible   Gemma2   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/TheDrummer/Big-Tiger-Gemma-27B-v1 

Big Tiger Gemma 27B V1 Benchmarks

LLME Score: 0.14901
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 V1 (TheDrummer/Big-Tiger-Gemma-27B-v1)
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Big Tiger Gemma 27B V1 Parameters and Internals

Model Type 
Decensored
Additional Notes 
In memory of Tiger (the happy street cat on the right).
LLM NameBig Tiger Gemma 27B V1
Repository 🤗https://huggingface.co/TheDrummer/Big-Tiger-Gemma-27B-v1 
Model Size27b
Required VRAM54.7 GB
Updated2026-05-01
MaintainerTheDrummer
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
Context Length8192
Model Max Length8192
Transformers Version4.42.3
Tokenizer ClassGemmaTokenizer
Padding Token<pad>
Vocabulary Size256000
Torch Data Typebfloat16

Best Alternatives to Big Tiger Gemma 27B V1

Best Alternatives
Context / RAM
Downloads
Likes
ATOMIS32K / 66 GB95
SystemGemma2 27B It32K / 54.7 GB961
SystemGemma2 27B It32K / 54.7 GB153
Gemma 2 27B It8K / 54.7 GB43362565
Gemma 2 27B It8K / 54.7 GB11686
...izon AI Korean Avengers V3 27B8K / 54.8 GB100
...izon AI Korean Avengers V2 27B8K / 54.8 GB60
Gemma2Slerp2 27B8K / 54.8 GB41
GemmaStock1 27B8K / 54.8 GB150
...s Horizon AI Korean Superb 27B8K / 54.8 GB102
Note: green Score (e.g. "73.2") means that the model is better than TheDrummer/Big-Tiger-Gemma-27B-v1.

Rank the Big Tiger Gemma 27B V1 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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