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Llama 3.1 SauerkrautLM 8B Instruct by VAGOsolutions

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Llama 3.1 SauerkrautLM 8B Instruct is an open-source language model by VAGOsolutions. Features: 8b LLM, VRAM: 16GB, Context: 128K, License: llama3.1, Instruction-Based, LLM Explorer Score: 0.26.

  Conversational   De   Deploy:azure   En   Endpoints compatible   Es   Fr   Instruct   It   Llama   Pt   Region:us   Safetensors   Sharded   Spectrum   Tensorflow
Model Card on HF 🤗: https://huggingface.co/VAGOsolutions/Llama-3.1-SauerkrautLM-8b-Instruct 

Llama 3.1 SauerkrautLM 8B Instruct Benchmarks

MMLU Pro: 32.12
GPQA: 5.37
MUSR: 11.52
BBH: 31
IFEval: 80.17 vs 88 (so35)-8.9%
MATH Lvl 5: 19.41
LLME Score: 0.25644
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Llama 3.1 SauerkrautLM 8B Instruct (VAGOsolutions/Llama-3.1-SauerkrautLM-8b-Instruct)
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Llama 3.1 SauerkrautLM 8B Instruct Parameters and Internals

Model Type 
fine-tuned
Additional Notes 
Spectrum Fine-Tuning can efficiently enhance a large language model's capabilities in multiple languages while preserving the majority of its previously acquired knowledge.
Supported Languages 
German (high), English (high), Italian (basic), French (basic), Portuguese (basic), Spanish (basic)
Training Details 
Data Sources:
Unique German-English Sauerkraut Mix v2
Methodology:
Spectrum Fine-Tuning targeting 25% of the layers
LLM NameLlama 3.1 SauerkrautLM 8B Instruct
Repository 🤗https://huggingface.co/VAGOsolutions/Llama-3.1-SauerkrautLM-8b-Instruct 
Model Size8b
Required VRAM16 GB
Updated2026-03-30
MaintainerVAGOsolutions
Model Typellama
Instruction-BasedYes
Model Files  4.0 GB: 1-of-5   3.9 GB: 2-of-5   3.9 GB: 3-of-5   3.9 GB: 4-of-5   0.3 GB: 5-of-5
Supported Languagesde en it fr pt es
Model ArchitectureLlamaForCausalLM
Licensellama3.1
Context Length131072
Model Max Length131072
Transformers Version4.44.0.dev0
Tokenizer ClassPreTrainedTokenizerFast
Vocabulary Size128256
Torch Data Typebfloat16

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Rank the Llama 3.1 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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