SauerkrautLM SOLAR Instruct GGUF by TheBloke

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  Augmentation Base model:quantized:vagosolut... Base model:vagosolutions/sauer...   Conversational Dataset:argilla/distilabel-mat...   De   Dpo   En   Finetuned   German   Gguf   Instruct   Quantized   Region:us   Solar

SauerkrautLM SOLAR Instruct GGUF Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
SauerkrautLM SOLAR Instruct GGUF (TheBloke/SauerkrautLM-SOLAR-Instruct-GGUF)

SauerkrautLM SOLAR Instruct GGUF Parameters and Internals

Model Type 
text-generation, instruction-following
Use Cases 
Areas:
research, non-commercial applications
Applications:
text generation, dialogue systems
Primary Use Cases:
Instruction following in English and German
Limitations:
May generate inappropriate or uncensored content
Considerations:
Not suitable for commercial applications due to license restrictions.
Additional Notes 
Model includes data augmentation and translations to ensure high-quality German language outputs.
Supported Languages 
en (proficient), de (proficient)
Training Details 
Data Sources:
argilla/distilabel-math-preference-dpo, HuggingFaceH4/ultrafeedback_binarized
Methodology:
Data augmentation and translation for improved German language performance
Input Output 
Input Format:
### User: {prompt} ### Assistant:
Accepted Modalities:
text
Output Format:
text
Performance Tips:
Improves in natural language understanding when fine-tuned further with specific domain data.
LLM NameSauerkrautLM SOLAR Instruct GGUF
Repository ๐Ÿค—https://huggingface.co/TheBloke/SauerkrautLM-SOLAR-Instruct-GGUF 
Model NameSauerkrautLM SOLAR Instruct
Model CreatorVAGO solutions
Base Model(s)  SauerkrautLM SOLAR Instruct   VAGOsolutions/SauerkrautLM-SOLAR-Instruct
Required VRAM4.5 GB
Updated2024-12-22
MaintainerTheBloke
Model Typesolar
Instruction-BasedYes
Model Files  4.5 GB   5.7 GB   5.2 GB   4.7 GB   6.1 GB   6.5 GB   6.1 GB   7.4 GB   7.6 GB   7.4 GB   8.8 GB   11.4 GB
Supported Languagesen de
GGUF QuantizationYes
Quantization Typegguf
Model ArchitectureAutoModel
Licensecc-by-nc-4.0

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Note: green Score (e.g. "73.2") means that the model is better than TheBloke/SauerkrautLM-SOLAR-Instruct-GGUF.

Rank the SauerkrautLM SOLAR Instruct GGUF 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 v20241217