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Gemma 2 9B Reuploaded by rombodawg

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Model Card on HF 🤗: https://huggingface.co/rombodawg/gemma-2-9b-reuploaded 

Gemma 2 9B Reuploaded Benchmarks

LLME Score: 0.20307
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 Reuploaded (rombodawg/gemma-2-9b-reuploaded)

Gemma 2 9B Reuploaded 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 Reuploaded
Repository 🤗https://huggingface.co/rombodawg/gemma-2-9b-reuploaded 
Model Size9b
Required VRAM18.6 GB
Updated2025-02-22
Maintainerrombodawg
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 Version4.43.0.dev0
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 rombodawg/gemma-2-9b-reuploaded.

Rank the Gemma 2 9B Reuploaded 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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