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SauerkrautLM SOLAR Instruct AWQ by mayflowergmbh

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  4-bit   Awq   Conversational   Endpoints compatible   Instruct   Llama   Quantized   Region:us   Safetensors
Model Card on HF 🤗: https://huggingface.co/mayflowergmbh/SauerkrautLM-SOLAR-Instruct-awq 

SauerkrautLM SOLAR Instruct AWQ Benchmarks

ARC: 70.9 vs 96.7 (so35)-26.7%
HellaSwag: 88.3 vs 95.3 (gpt4)-7.3%
MMLU: 66.15 vs 88.3 (so35)-25.1%
TruthfulQA: 71.8 vs 59 (gpt4)21.7%
WinoGrande: 83.74 vs 87.5 (gpt4)-4.3%
GSM8K: 64.67 vs 96.4 (so35)-32.9%
LLME Score: 0.13107
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 (mayflowergmbh/SauerkrautLM-SOLAR-Instruct-awq)
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SauerkrautLM SOLAR Instruct AWQ Parameters and Internals

LLM NameSauerkrautLM SOLAR Instruct AWQ
Repository 🤗https://huggingface.co/mayflowergmbh/SauerkrautLM-SOLAR-Instruct-awq 
Model Size10.7b
Required VRAM6 GB
Updated2026-02-07
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

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... 10.7B Instruct V1.0 128K EXL2128K / 5.6 GB31
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...B Instruct V1.0 Uncensored AWQ4K / 6 GB114
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...Instruct V1.0 6.0bpw H6 EXL2 24K / 8.2 GB72
...Instruct V1.0 8.0bpw H8 EXL2 24K / 10.8 GB71
...Instruct V1.0 3.0bpw H6 EXL2 24K / 4.3 GB70

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  
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Release v20241124
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