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SauerkrautLM 7B HerO by VAGOsolutions

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  Augmentation   Autotrain compatible   Chatml   Conversational   De   En   Endpoints compatible   Finetuned   German   Merge   Mergekit   Mistral   Pytorch   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/VAGOsolutions/SauerkrautLM-7b-HerO 

SauerkrautLM 7B HerO Benchmarks

MMLU Pro: 22.73
GPQA: 3.02
MUSR: 6.88
BBH: 27.99
IFEval: 53.46 vs 88 (so35)-39.3%
ARC: 63.23 vs 96.7 (so35)-34.6%
HellaSwag: 83.52 vs 95.3 (gpt4)-12.4%
MMLU: 63.3 vs 88.3 (so35)-28.3%
TruthfulQA: 49.22 vs 59 (gpt4)-16.6%
WinoGrande: 78.37 vs 87.5 (gpt4)-10.4%
GSM8K: 49.28 vs 96.4 (so35)-48.9%
MATH Lvl 5: 3.93
LLME Score: 0.24234
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
SauerkrautLM 7B HerO (VAGOsolutions/SauerkrautLM-7b-HerO)

SauerkrautLM 7B HerO Parameters and Internals

Model Type 
auto-regressive, transformer architecture, text-generation
Use Cases 
Areas:
research, commercial applications
Applications:
language translation, chatbots
Primary Use Cases:
German language understanding and generation
Additional Notes 
Model retains its strengths in English while acquiring proficiency in German.
Supported Languages 
primary (German), additional_languages (English)
Training Details 
Data Sources:
Teknium's OpenHermes-2.5-Mistral-7B, Open-Orca's Mistral-7B-OpenOrca
Methodology:
Gradient SLERP method from MergeKit, data augmentation and translation for German proficiency.
Model Architecture:
Transformers
LLM NameSauerkrautLM 7B HerO
Repository 🤗https://huggingface.co/VAGOsolutions/SauerkrautLM-7b-HerO 
Model Size7b
Required VRAM14.4 GB
Updated2025-02-22
MaintainerVAGOsolutions
Model Typemistral
Model Files  4.9 GB: 1-of-3   5.0 GB: 2-of-3   4.5 GB: 3-of-3   4.9 GB: 1-of-3   5.0 GB: 2-of-3   4.5 GB: 3-of-3
Supported Languagesen de
Model ArchitectureMistralForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.35.1
Tokenizer ClassLlamaTokenizer
Padding Token</s>
Vocabulary Size32002
Torch Data Typefloat16

Quantized Models of the SauerkrautLM 7B HerO

Model
Likes
Downloads
VRAM
SauerkrautLM 7B HerO AWQ41544 GB
SauerkrautLM 7B HerO GGUF41393 GB
SauerkrautLM 7B HerO GPTQ1224 GB

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Note: green Score (e.g. "73.2") means that the model is better than VAGOsolutions/SauerkrautLM-7b-HerO.

Rank the SauerkrautLM 7B HerO 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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