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Gemma2 9B Unlearning General Methode by MinaMila

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Gemma2 9B Unlearning General Methode is an open-source language model by MinaMila. Features: 9b LLM, VRAM: 37.1GB, Context: 8K, LLM Explorer Score: 0.18.

  Arxiv:1910.09700   Autotrain compatible   Endpoints compatible   Gemma2   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/MinaMila/Gemma2_9B_unlearning_general_methode 

Gemma2 9B Unlearning General Methode Benchmarks

LLME Score: 0.18329
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Gemma2 9B Unlearning General Methode (MinaMila/Gemma2_9B_unlearning_general_methode)
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Gemma2 9B Unlearning General Methode Parameters and Internals

LLM NameGemma2 9B Unlearning General Methode
Repository 🤗https://huggingface.co/MinaMila/Gemma2_9B_unlearning_general_methode 
Model Size9b
Required VRAM37.1 GB
Updated2025-04-10
MaintainerMinaMila
Model Typegemma2
Model Files  4.8 GB: 1-of-8   5.0 GB: 2-of-8   5.0 GB: 3-of-8   4.9 GB: 4-of-8   5.0 GB: 5-of-8   5.0 GB: 6-of-8   5.0 GB: 7-of-8   2.4 GB: 8-of-8
Model ArchitectureGemma2ForCausalLM
Context Length8192
Model Max Length8192
Transformers Version4.46.3
Tokenizer ClassGemmaTokenizer
Padding Token<pad>
Vocabulary Size256000
Torch Data Typefloat32

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Note: green Score (e.g. "73.2") means that the model is better than MinaMila/Gemma2_9B_unlearning_general_methode.

Rank the Gemma2 9B Unlearning General Methode 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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