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SauerkrautLM Gemma 2 2B It by VAGOsolutions

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  De   En   Es   Fr   Gemma2   It   Pt   Region:us   Safetensors   Sharded   Spectrum   Tensorflow
Model Card on HF 🤗: https://huggingface.co/VAGOsolutions/SauerkrautLM-gemma-2-2b-it 

SauerkrautLM Gemma 2 2B It Benchmarks

MMLU Pro: 18.81
GPQA: 3.02
MUSR: 8.77
BBH: 18.91
IFEval: 13.21 vs 88 (so35)-85%
MATH Lvl 5: 2.19
LLME Score: 0.22366
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
SauerkrautLM Gemma 2 2B It (VAGOsolutions/SauerkrautLM-gemma-2-2b-it)
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SauerkrautLM Gemma 2 2B It Parameters and Internals

Model Type 
Fine-tuned Language Model
Additional Notes 
The model demonstrates the potential of resource-efficient fine-tuning with Spectrum Fine-Tuning approach.
Supported Languages 
German (High), English (High), additional_languages (Improved multilinguality)
Training Details 
Data Sources:
Unique German-English Sauerkraut Mix v2
Methodology:
Spectrum Fine-Tuning targeting 25% of the model's layers. Bespoke, precision-engineered fine-tuning approach.
LLM NameSauerkrautLM Gemma 2 2B It
Repository 🤗https://huggingface.co/VAGOsolutions/SauerkrautLM-gemma-2-2b-it 
Model Size2b
Required VRAM5.2 GB
Updated2025-09-23
MaintainerVAGOsolutions
Model Typegemma2
Model Files  5.0 GB: 1-of-2   0.2 GB: 2-of-2
Supported Languagesde en it fr pt es
Model ArchitectureGemma2ForCausalLM
Licensegemma
Context Length8192
Model Max Length8192
Transformers Version4.44.0.dev0
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 VAGOsolutions/SauerkrautLM-gemma-2-2b-it.

Rank the SauerkrautLM Gemma 2 2B It 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  
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124
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