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BBAI 135 Gemma by Supichi

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  Merged Model   Autotrain compatible Base model:allknowingroger/gem... Base model:allknowingroger/gem...   Conversational   Endpoints compatible   Gemma2   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/Supichi/BBAI_135_Gemma 

BBAI 135 Gemma Benchmarks

MMLU Pro: 7.47
GPQA: 2.35
MUSR: 4.86
BBH: 10.86
IFEval: 6.56 vs 88 (so35)-92.5%
LLME Score: 0.23886
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
BBAI 135 Gemma (Supichi/BBAI_135_Gemma)
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BBAI 135 Gemma Parameters and Internals

LLM NameBBAI 135 Gemma
Repository 🤗https://huggingface.co/Supichi/BBAI_135_Gemma 
Base Model(s)  Gemma2Slerp2 27B   Gemma2Slerp3 27B   allknowingroger/Gemma2Slerp2-27B   allknowingroger/Gemma2Slerp3-27B
Merged ModelYes
Model Size27b
Required VRAM38.8 GB
Updated2025-07-02
MaintainerSupichi
Model Typegemma2
Model Files  5.0 GB: 1-of-8   4.9 GB: 2-of-8   5.0 GB: 3-of-8   4.9 GB: 4-of-8   4.9 GB: 5-of-8   5.0 GB: 6-of-8   4.9 GB: 7-of-8   4.2 GB: 8-of-8
Model ArchitectureGemma2ForCausalLM
Context Length8192
Model Max Length8192
Transformers Version4.48.2
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 Supichi/BBAI_135_Gemma.

Rank the BBAI 135 Gemma 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 v20241124
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