Gemma2 2B Mixed by bunnycore

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Gemma2 2B Mixed Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
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Gemma2 2B Mixed Parameters and Internals

Model Type 
compact, language processing, uncensored
Use Cases 
Areas:
smartphones, resource-constrained devices
Additional Notes 
Gemma2-2B-mixed is designed for deployment on smartphones, supporting offline capabilities and roleplay interactions. It benefits from uncensored nature to enhance creativity and honesty in responses.
LLM NameGemma2 2B Mixed
Repository ๐Ÿค—https://huggingface.co/bunnycore/Gemma2-2B-mixed 
Merged ModelYes
Model Size2b
Required VRAM6.5 GB
Updated2025-06-10
Maintainerbunnycore
Model Typegemma2
Model Files  1.2 GB: 1-of-7   1.2 GB: 2-of-7   1.0 GB: 3-of-7   1.0 GB: 4-of-7   1.0 GB: 5-of-7   1.0 GB: 6-of-7   0.1 GB: 7-of-7
Model ArchitectureGemma2ForCausalLM
Licenseapache-2.0
Context Length8192
Model Max Length8192
Transformers Version4.42.4
Tokenizer ClassGemmaTokenizer
Padding Token<pad>
Vocabulary Size256000
Torch Data Typebfloat16
Gemma2 2B Mixed (bunnycore/Gemma2-2B-mixed)

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Note: green Score (e.g. "73.2") means that the model is better than bunnycore/Gemma2-2B-mixed.

Rank the Gemma2 2B Mixed 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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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124