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Llama 3 SauerkrautLM 8B Instruct by VAGOsolutions

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Model Card on HF 🤗: https://huggingface.co/VAGOsolutions/Llama-3-SauerkrautLM-8b-Instruct 

Llama 3 SauerkrautLM 8B Instruct Benchmarks

MMLU Pro: 31.75
GPQA: 7.83
MUSR: 11.28
BBH: 28.05
IFEval: 74.45 vs 88 (so35)-15.4%
ARC: 73.72 vs 96.7 (so35)-23.8%
HellaSwag: 89.41 vs 95.3 (gpt4)-6.2%
MMLU: 68.07 vs 88.3 (so35)-22.9%
TruthfulQA: 66.25 vs 59 (gpt4)12.3%
WinoGrande: 80.03 vs 87.5 (gpt4)-8.5%
GSM8K: 64.97 vs 96.4 (so35)-32.6%
MATH Lvl 5: 6.65
LLME Score: 0.33721
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Llama 3 SauerkrautLM 8B Instruct (VAGOsolutions/Llama-3-SauerkrautLM-8b-Instruct)

Llama 3 SauerkrautLM 8B Instruct Parameters and Internals

Model Type 
Finetuned Model
Additional Notes 
Improved capabilities with curated German data.
Supported Languages 
German (Curated data for improved capabilities), English (Supported)
Training Details 
Methodology:
Two staged DPO Fine-Tuning
Input Output 
Input Format:
Prompt templates for English and German provided.
Output Format:
Text responses
LLM NameLlama 3 SauerkrautLM 8B Instruct
Repository 🤗https://huggingface.co/VAGOsolutions/Llama-3-SauerkrautLM-8b-Instruct 
Model Size8b
Required VRAM16.1 GB
Updated2025-03-12
MaintainerVAGOsolutions
Model Typellama
Instruction-BasedYes
Model Files  5.0 GB: 1-of-4   5.0 GB: 2-of-4   4.9 GB: 3-of-4   1.2 GB: 4-of-4
Supported Languagesde en
Model ArchitectureLlamaForCausalLM
Licenseother
Context Length8192
Model Max Length8192
Transformers Version4.40.0
Tokenizer ClassPreTrainedTokenizerFast
Vocabulary Size128256
Torch Data Typebfloat16

Quantized Models of the Llama 3 SauerkrautLM 8B Instruct

Model
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VRAM
...uerkrautLM 8B 12K Instruct AWQ1105 GB
...uerkrautLM 8B 16K Instruct AWQ1115 GB
...3 SauerkrautLM 8B Instruct AWQ11205 GB
... SauerkrautLM 8B Instruct EXL20105 GB

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Note: green Score (e.g. "73.2") means that the model is better than VAGOsolutions/Llama-3-SauerkrautLM-8b-Instruct.

Rank the Llama 3 SauerkrautLM 8B Instruct 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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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227
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