SauerkrautLM SOLAR Instruct AWQ by TheBloke

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  4-bit   Augmentation   Autotrain compatible   Awq Base model:quantized:vagosolut... Base model:vagosolutions/sauer...   Conversational Dataset:argilla/distilabel-mat...   De   Dpo   En   Finetuned   German   Instruct   Llama   Quantized   Region:us   Safetensors

SauerkrautLM SOLAR Instruct AWQ 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 AWQ Parameters and Internals

Model Type 
text-generation, Instruct
Use Cases 
Areas:
Research, Text Generation, German Language Processing
Primary Use Cases:
Translation, Data Augmentation, Text-based AI Communication
Additional Notes 
Model benefits from proprietary German augmentation techniques enhancing natural language ability.
Supported Languages 
en (English), de (German)
Training Details 
Data Sources:
Interpolated from various sources including argilla/distilabel-math-preference-dpo, German SauerkrautLM-DPO dataset, and parts of HuggingFaceH4/ultrafeedback_binarized.
Methodology:
German data augmentation and translated data. Aligned via DPO with emphasis on grammatical and syntactical correctness.
Input Output 
Input Format:
### User: {prompt} ### Assistant:
Accepted Modalities:
text
Output Format:
Text-based responses following instruction adherence protocols.
LLM NameSauerkrautLM SOLAR Instruct AWQ
Repository ๐Ÿค—https://huggingface.co/TheBloke/SauerkrautLM-SOLAR-Instruct-AWQ 
Model NameSauerkrautLM SOLAR Instruct
Model CreatorVAGO solutions
Base Model(s)  SauerkrautLM SOLAR Instruct   VAGOsolutions/SauerkrautLM-SOLAR-Instruct
Model Size1.7b
Required VRAM6 GB
Updated2024-11-19
MaintainerTheBloke
Model Typesolar
Instruction-BasedYes
Model Files  6.0 GB
Supported Languagesen de
AWQ QuantizationYes
Quantization Typeawq
Model ArchitectureLlamaForCausalLM
Licensecc-by-nc-4.0
Context Length8192
Model Max Length8192
Transformers Version4.35.2
Tokenizer ClassLlamaTokenizer
Padding Token</s>
Vocabulary Size32000
Torch Data Typefloat16
SauerkrautLM SOLAR Instruct AWQ (TheBloke/SauerkrautLM-SOLAR-Instruct-AWQ)

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

Rank the SauerkrautLM SOLAR Instruct AWQ 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 v20241110