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SauerkrautLM SOLAR Instruct AWQ by TheBloke

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SauerkrautLM SOLAR Instruct AWQ is an open-source language model by TheBloke. Features: 10.7b LLM, VRAM: 6GB, Context: 8K, License: cc-by-nc-4.0, Quantized, Instruction-Based, LLM Explorer Score: 0.11.

  4-bit   Augmentation   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
Model Card on HF 🤗: https://huggingface.co/TheBloke/SauerkrautLM-SOLAR-Instruct-AWQ 

SauerkrautLM SOLAR Instruct AWQ Benchmarks

LLME Score: 0.11035
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 (TheBloke/SauerkrautLM-SOLAR-Instruct-AWQ)
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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 🤗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 Size10.7b
Required VRAM6 GB
Updated2026-04-08
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

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...auerkrautLM SOLAR Instruct AWQ8K / 6 GB12
Sakura SOLAR Instruct AWQ4K / 6 GB71
SOLAR 10.7B Instruct V1.0 AWQ4K / 6 GB1105
...krautLM UNA SOLAR Instruct AWQ4K / 6 GB21
LUNA SOLARkrautLM Instruct AWQ4K / 6 GB60
... 10.7B Instruct V1.0 128K EXL2128K / 5.6 GB21
...B Instruct V1.0 Uncensored AWQ4K / 6 GB854
Eclectus 1.1 Dedup4K / 21.4 GB70
Eclectus1.14K / 21.4 GB50
Solar 10.7B SLERP EXL24K / 5.6 GB84
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

🆘 Have you tried this model? Rate its performance. This feedback would greatly assist ML community in identifying the most suitable model for their needs. Your contribution really does make a difference! 🌟

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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