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Gemma 2 Ataraxy V4 Advanced 9B by lemon07r

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  Merged Model   Autotrain compatible Base model:lemon07r/gemma-2-at... Base model:zelk12/recoilme-gem...   Conversational   Endpoints compatible   Gemma2   Model-index   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/lemon07r/Gemma-2-Ataraxy-v4-Advanced-9B 

Gemma 2 Ataraxy V4 Advanced 9B Benchmarks

MMLU Pro: 37.41
GPQA: 11.86
MUSR: 16.29
BBH: 43.18
IFEval: 70.15 vs 88 (so35)-20.3%
MATH Lvl 5: 21.53
LLME Score: 0.2989
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
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Gemma 2 Ataraxy V4 Advanced 9B Parameters and Internals

Additional Notes 
This model was created using mergekit and utilizes the SLERP merge method with specific configurations for self attention, MLP, and model slices.
LLM NameGemma 2 Ataraxy V4 Advanced 9B
Repository 🤗https://huggingface.co/lemon07r/Gemma-2-Ataraxy-v4-Advanced-9B 
Base Model(s)  Gemma 2 Ataraxy V3 Advanced 9B   zelk12/recoilme-gemma-2-Ataraxy-9B-v0.1-t0.25   lemon07r/Gemma-2-Ataraxy-v3-Advanced-9B   zelk12/recoilme-gemma-2-Ataraxy-9B-v0.1-t0.25
Merged ModelYes
Model Size9b
Required VRAM20.4 GB
Updated2025-06-09
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
Context Length8192
Model Max Length8192
Transformers Version4.43.3
Tokenizer ClassGemmaTokenizer
Padding Token<pad>
Vocabulary Size256000
Torch Data Typebfloat16
Gemma 2 Ataraxy V4 Advanced 9B (lemon07r/Gemma-2-Ataraxy-v4-Advanced-9B)

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Note: green Score (e.g. "73.2") means that the model is better than lemon07r/Gemma-2-Ataraxy-v4-Advanced-9B.

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Release v20241124
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