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Gemma 2 Ataraxy Gemmasutra 9B Slerp by recoilme

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Gemma 2 Ataraxy Gemmasutra 9B Slerp is an open-source language model by recoilme. Features: 9b LLM, VRAM: 20.4GB, Context: 8K, License: apache-2.0, Merged, LLM Explorer Score: 0.22.

  Merged Model   Conversational   Deploy:azure   Endpoints compatible   Gemma2   Model-index   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/recoilme/Gemma-2-Ataraxy-Gemmasutra-9B-slerp 

Gemma 2 Ataraxy Gemmasutra 9B Slerp Benchmarks

MMLU Pro: 35.14
GPQA: 10.63
MUSR: 16.42
BBH: 42.7
IFEval: 28.54 vs 88 (so35)-67.6%
MATH Lvl 5: 10.05
LLME Score: 0.22308
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 Gemmasutra 9B Slerp (recoilme/Gemma-2-Ataraxy-Gemmasutra-9B-slerp)
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Gemma 2 Ataraxy Gemmasutra 9B Slerp Parameters and Internals

Model Type 
text-generation
Additional Notes 
Based on results published on the Open LLM Leaderboard. Reference results page for more detailed analysis and metrics.
LLM NameGemma 2 Ataraxy Gemmasutra 9B Slerp
Repository 🤗https://huggingface.co/recoilme/Gemma-2-Ataraxy-Gemmasutra-9B-slerp 
Merged ModelYes
Model Size9b
Required VRAM20.4 GB
Updated2026-04-10
Maintainerrecoilme
Model Typegemma2
Model Files  1.8 GB: 1-of-19   1.8 GB: 2-of-19   1.0 GB: 3-of-19   1.0 GB: 4-of-19   1.0 GB: 5-of-19   1.0 GB: 6-of-19   1.0 GB: 7-of-19   1.0 GB: 8-of-19   1.0 GB: 9-of-19   1.0 GB: 10-of-19   1.0 GB: 11-of-19   1.0 GB: 12-of-19   1.0 GB: 13-of-19   1.0 GB: 14-of-19   1.0 GB: 15-of-19   1.0 GB: 16-of-19   1.0 GB: 17-of-19   1.0 GB: 18-of-19   0.8 GB: 19-of-19
Model ArchitectureGemma2ForCausalLM
Licenseapache-2.0
Context Length8192
Model Max Length8192
Transformers Version4.44.2
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 recoilme/Gemma-2-Ataraxy-Gemmasutra-9B-slerp.

Rank the Gemma 2 Ataraxy Gemmasutra 9B Slerp 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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