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Gemma 2 9B It by unsloth

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Gemma 2 9B It Benchmarks

MMLU Pro: 33.56
GPQA: 11.52
MUSR: 9.78
BBH: 40.94
IFEval: 62.83 vs 88 (so35)-28.6%
MATH Lvl 5: 13.82
LLME Score: 0.36713
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

Gemma 2 9B It Parameters and Internals

Model Type 
text generation
Use Cases 
Areas:
research, commercial applications
Applications:
finetuning models
Primary Use Cases:
finetuning to improve performance or reduce memory usage
Input Output 
Accepted Modalities:
text
Performance Tips:
Using the Unsoth method allows for faster processing and reduced memory usage.
LLM NameGemma 2 9B It
Repository 🤗https://huggingface.co/unsloth/gemma-2-9b-it 
Model Size9b
Required VRAM18.6 GB
Updated2024-11-21
Maintainerunsloth
Model Typegemma2
Model Files  4.9 GB: 1-of-4   5.0 GB: 2-of-4   5.0 GB: 3-of-4   3.7 GB: 4-of-4
Supported Languagesen
Model ArchitectureGemma2ForCausalLM
Licensegemma
Context Length8192
Model Max Length8192
Transformers Version4.44.2
Tokenizer ClassGemmaTokenizer
Padding Token<pad>
Vocabulary Size256000
Torch Data Typebfloat16
Gemma 2 9B It (unsloth/gemma-2-9b-it)

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Note: green Score (e.g. "73.2") means that the model is better than unsloth/gemma-2-9b-it.

Rank the Gemma 2 9B It 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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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241110
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