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

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
Updated2024-11-07
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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...auerkrautLM SOLAR Instruct AWQ8K / 6 GB22
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Sakura SOLAR Instruct GPTQ4K / 6 GB73
Note: green Score (e.g. "73.2") means that the model is better than TheBloke/SauerkrautLM-SOLAR-Instruct-AWQ.

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Instruction Following and Task Automation  
Factuality and Completeness of Knowledge  
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Data Analysis and Insight Generation  
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v2024072803