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Gemma 2 Ataraxy 9B by lemon07r

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  Merged Model   Autotrain compatible Base model:nbeerbower/gemma2-g... Base model:princeton-nlp/gemma...   Conversational   Endpoints compatible   Gemma2   Model-index   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/lemon07r/Gemma-2-Ataraxy-9B 

Gemma 2 Ataraxy 9B Benchmarks

MMLU Pro: 35.85
GPQA: 11.3
MUSR: 14.47
BBH: 42.03
IFEval: 30.09 vs 88 (so35)-65.8%
MATH Lvl 5: 8.53
LLME Score: 0.2951
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Gemma 2 Ataraxy 9B (lemon07r/Gemma-2-Ataraxy-9B)

Gemma 2 Ataraxy 9B Parameters and Internals

Model Type 
text generation
Additional Notes 
The model is created using a SLERP merge method between 'princeton-nlp/gemma-2-9b-it-SimPO' and 'nbeerbower/gemma2-gutenberg-9B'.
LLM NameGemma 2 Ataraxy 9B
Repository 🤗https://huggingface.co/lemon07r/Gemma-2-Ataraxy-9B 
Base Model(s)  Gemma 2 9B It SimPO   Gemma2 Gutenberg 9B   princeton-nlp/gemma-2-9b-it-SimPO   nbeerbower/gemma2-gutenberg-9B
Merged ModelYes
Model Size9b
Required VRAM20.4 GB
Updated2025-03-12
Maintainerlemon07r
Model Typegemma2
Model Files  5.0 GB: 1-of-5   5.0 GB: 2-of-5   4.9 GB: 3-of-5   5.0 GB: 4-of-5   0.5 GB: 5-of-5
Model ArchitectureGemma2ForCausalLM
Licensegemma
Context Length8192
Model Max Length8192
Transformers Version4.43.3
Tokenizer ClassGemmaTokenizer
Padding Token<pad>
Vocabulary Size256000
Torch Data Typebfloat16

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MT3 Gen4 Gemma 2 9B8K / 20.4 GB1194
Note: green Score (e.g. "73.2") means that the model is better than lemon07r/Gemma-2-Ataraxy-9B.

Rank the Gemma 2 Ataraxy 9B 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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