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Gemma2 Evelyn 9B by yamatazen

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Gemma2 Evelyn 9B is an open-source language model by yamatazen. Features: 9b LLM, VRAM: 20.4GB, Context: 8K, Merged, LLM Explorer Score: 0.19.

  Merged Model   Arxiv:2403.19522   Autotrain compatible Base model:yamatazen/gemma2-al... Base model:yamatazen/gemma2-bl... Base model:yamatazen/irida-sce... Base model:yamatazen/shirayuki...   Conversational   En   Endpoints compatible   Gemma2   Ja   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/yamatazen/Gemma2-Evelyn-9B 

Gemma2 Evelyn 9B Benchmarks

LLME Score: 0.19413
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Gemma2 Evelyn 9B (yamatazen/Gemma2-Evelyn-9B)
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Gemma2 Evelyn 9B Parameters and Internals

LLM NameGemma2 Evelyn 9B
Repository 🤗https://huggingface.co/yamatazen/Gemma2-Evelyn-9B 
Base Model(s)  Gemma2 BlueMoon 9B   Gemma2 Alicia 9B   Shirayuki SCE 9B   Irida SCE 9B   yamatazen/Gemma2-BlueMoon-9B   yamatazen/Gemma2-Alicia-9B   yamatazen/Shirayuki-SCE-9B   yamatazen/Irida-SCE-9B
Merged ModelYes
Model Size9b
Required VRAM20.4 GB
Updated2025-09-23
Maintaineryamatazen
Model Typegemma2
Model Files  5.0 GB: 1-of-5   5.0 GB: 2-of-5   4.9 GB: 3-of-5   5.0 GB: 4-of-5   0.5 GB: 5-of-5
Supported Languagesen ja
Model ArchitectureGemma2ForCausalLM
Context Length8192
Model Max Length8192
Transformers Version4.51.1
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 yamatazen/Gemma2-Evelyn-9B.

Rank the Gemma2 Evelyn 9B Capabilities

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Instruction Following and Task Automation  
Factuality and Completeness of Knowledge  
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Text Summarization and Feature Extraction  
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Multi-Language Support and Translation  

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