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Gemma 2 2B All In One by bunnycore

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  Merged Model   Arxiv:2403.19522   Autotrain compatible Base model:bunnycore/gemma2-2b... Base model:bunnycore/gemma2-2b... Base model:bunnycore/gemmaomni... Base model:cognitivecomputatio... Base model:ehristoforu/gemma2-... Base model:ilyagusev/gemma-2-2...   Conversational   Endpoints compatible   Gemma2   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/bunnycore/Gemma-2-2b-All-in-One 

Gemma 2 2B All In One Benchmarks

LLME Score: 0.22439
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Gemma 2 2B All In One (bunnycore/Gemma-2-2b-All-in-One)

Gemma 2 2B All In One Parameters and Internals

Model Type 
merge
Additional Notes 
This model is a merge of several pre-trained language models using mergekit.
Training Details 
Methodology:
Merged using Model Stock method
LLM NameGemma 2 2B All In One
Repository 🤗https://huggingface.co/bunnycore/Gemma-2-2b-All-in-One 
Base Model(s)  cognitivecomputations/dolphin-2.9.4-gemma2-2b   GemmaOmni2 2B   Gemma2 2B It Codealpaca   Gemma2 2B Code Lora   Gemma2 2B Mixed   Gemma 2 2B It Abliterated   cognitivecomputations/dolphin-2.9.4-gemma2-2b   bunnycore/GemmaOmni2-2B   ehristoforu/Gemma2-2b-it-codealpaca   bunnycore/Gemma2-2b-code-lora   bunnycore/Gemma2-2B-mixed   IlyaGusev/gemma-2-2b-it-abliterated
Merged ModelYes
Model Size2b
Required VRAM6.4 GB
Updated2025-02-05
Maintainerbunnycore
Model Typegemma2
Model Files  5.0 GB: 1-of-2   1.4 GB: 2-of-2
Model ArchitectureGemma2ForCausalLM
Context Length8192
Model Max Length8192
Transformers Version4.44.1
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 bunnycore/Gemma-2-2b-All-in-One.

Rank the Gemma 2 2B All In One 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 v20241227
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