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SauerkrautLM SOLAR Instruct GPTQ by TheBloke

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

SauerkrautLM SOLAR Instruct GPTQ Benchmarks

LLME Score: 0.16692
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 GPTQ Parameters and Internals

Model Type 
solar, text-generation
Additional Notes 
Despite efforts in data cleansing, possibility of uncensored content slipping through cannot be entirely ruled out. Licensing does not constitute legal advice.
Supported Languages 
en (proficient), de (proficient)
Training Details 
Data Sources:
argilla/distilabel-math-preference-dpo, HuggingFaceH4/ultrafeedback_binarized, SauerkrautLM-DPO, Sauerkraut-7b-HerO
Methodology:
Fine-tuned using DPO and German data augmentation techniques
Input Output 
Input Format:
### User: {prompt} ### Assistant:
Accepted Modalities:
text
LLM NameSauerkrautLM SOLAR Instruct GPTQ
Repository 🤗https://huggingface.co/TheBloke/SauerkrautLM-SOLAR-Instruct-GPTQ 
Model NameSauerkrautLM SOLAR Instruct
Model CreatorVAGO solutions
Base Model(s)  SauerkrautLM SOLAR Instruct   VAGOsolutions/SauerkrautLM-SOLAR-Instruct
Model Size1.7b
Required VRAM6 GB
Updated2024-11-21
MaintainerTheBloke
Model Typesolar
Instruction-BasedYes
Model Files  6.0 GB
Supported Languagesen de
GPTQ QuantizationYes
Quantization Typegptq
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 Typebfloat16
SauerkrautLM SOLAR Instruct GPTQ (TheBloke/SauerkrautLM-SOLAR-Instruct-GPTQ)

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...auerkrautLM SOLAR Instruct AWQ8K / 6 GB12
Note: green Score (e.g. "73.2") means that the model is better than TheBloke/SauerkrautLM-SOLAR-Instruct-GPTQ.

Rank the SauerkrautLM SOLAR Instruct GPTQ 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
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