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SauerkrautLM SOLAR Instruct AWQ by mayflowergmbh

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  4-bit   Autotrain compatible   Awq   Conversational   Endpoints compatible   Instruct   Llama   Quantized   Region:us   Safetensors

SauerkrautLM SOLAR Instruct AWQ Benchmarks

LLME Score: 0.16907
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 🤗https://huggingface.co/mayflowergmbh/SauerkrautLM-SOLAR-Instruct-awq 
Model Size1.7b
Required VRAM6 GB
Updated2024-11-07
Maintainermayflowergmbh
Model Typellama
Instruction-BasedYes
Model Files  6.0 GB
AWQ QuantizationYes
Quantization Typeawq
Model ArchitectureLlamaForCausalLM
Licensecc-by-nc-4.0
Context Length8192
Model Max Length8192
Transformers Version4.36.2
Tokenizer ClassLlamaTokenizer
Padding Token</s>
Vocabulary Size32000
Torch Data Typefloat16
SauerkrautLM SOLAR Instruct AWQ (mayflowergmbh/SauerkrautLM-SOLAR-Instruct-awq)

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...auerkrautLM SOLAR Instruct AWQ8K / 6 GB70
Sakura SOLAR Instruct AWQ4K / 6 GB91
...krautLM UNA SOLAR Instruct AWQ4K / 6 GB51
LUNA SOLARkrautLM Instruct AWQ4K / 6 GB50
SmolLM 1.7B Instruct 4bit2K / 1 GB162
SmolLM 1.7B Instruct 8bit2K / 1.8 GB191
SmolLM2 1.7B Instruct8K / 3.4 GB16940236
SmolLM2 1.7B Instruct8K / 3.4 GB743
...uerkrautLM SOLAR Instruct GPTQ8K / 6 GB112
Sakura SOLAR Instruct GPTQ4K / 6 GB73
Note: green Score (e.g. "73.2") means that the model is better than mayflowergmbh/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 v2024072803
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