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Gemma 3 27B Experiment V2 Merge by ToastyPigeon

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Gemma 3 27B Experiment V2 Merge is an open-source language model by ToastyPigeon. Features: 27b LLM, VRAM: 106.1GB, Context: 128K, Merged, LLM Explorer Score: 0.18.

  Merged Model   Arxiv:2203.05482 Base model:toastypigeon/gemma-... Base model:toastypigeon/gemma-...   Conversational   Endpoints compatible   Gemma3 text   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/ToastyPigeon/gemma-3-27b-experiment-v2-merge 

Gemma 3 27B Experiment V2 Merge Benchmarks

LLME Score: 0.18366
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Gemma 3 27B Experiment V2 Merge (ToastyPigeon/gemma-3-27b-experiment-v2-merge)
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Gemma 3 27B Experiment V2 Merge Parameters and Internals

LLM NameGemma 3 27B Experiment V2 Merge
Repository 🤗https://huggingface.co/ToastyPigeon/gemma-3-27b-experiment-v2-merge 
Base Model(s)  ...a 3 27B Experiment Storyteller   Gemma 3 27B Fujin   ToastyPigeon/gemma-3-27b-experiment-storyteller   ToastyPigeon/gemma-3-27b-fujin
Merged ModelYes
Model Size27b
Required VRAM106.1 GB
Updated2026-04-23
MaintainerToastyPigeon
Model Typegemma3_text
Model Files  4.9 GB: 1-of-22   5.0 GB: 2-of-22   5.0 GB: 3-of-22   5.0 GB: 4-of-22   5.0 GB: 5-of-22   5.0 GB: 6-of-22   5.0 GB: 7-of-22   5.0 GB: 8-of-22   5.0 GB: 9-of-22   5.0 GB: 10-of-22   5.0 GB: 11-of-22   5.0 GB: 12-of-22   5.0 GB: 13-of-22   5.0 GB: 14-of-22   5.0 GB: 15-of-22   5.0 GB: 16-of-22   5.0 GB: 17-of-22   5.0 GB: 18-of-22   5.0 GB: 19-of-22   5.0 GB: 20-of-22   5.0 GB: 21-of-22   1.2 GB: 22-of-22
Model ArchitectureGemma3ForCausalLM
Context Length131072
Model Max Length131072
Transformers Version4.51.1
Tokenizer ClassGemmaTokenizer
Padding Token<pad>
Vocabulary Size262145
Torch Data Typefloat16

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Gemma 3 27B Fujin128K / 54.4 GB50
Note: green Score (e.g. "73.2") means that the model is better than ToastyPigeon/gemma-3-27b-experiment-v2-merge.

Rank the Gemma 3 27B Experiment V2 Merge 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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