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Smaugredq by Daemontatox

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Base model:abacusai/llama-3-sm... Base model:quantized:abacusai/...   En   Endpoints compatible   Gguf   Llama   Quantized   Region:us   Unsloth

Smaugredq Benchmarks

ARC: 59.56 vs 96.7 (so35)-38.4%
HellaSwag: 80.04 vs 95.3 (gpt4)-16%
MMLU: 65.77 vs 88.3 (so35)-25.5%
TruthfulQA: 51.67 vs 59 (gpt4)-12.4%
WinoGrande: 74.74 vs 87.5 (gpt4)-14.6%
GSM8K: 55.88 vs 96.4 (so35)-42%
LLME Score: 0.25266
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

Smaugredq Parameters and Internals

LLM NameSmaugredq
Repository 🤗https://huggingface.co/Daemontatox/smaugredq 
Base Model(s)  Llama 3 Smaug 8B   abacusai/Llama-3-Smaug-8B
Model Size8b
Required VRAM4.9 GB
Updated2024-08-11
MaintainerDaemontatox
Model Typellama
Model Files  16.1 GB   4.9 GB
Supported Languagesen
GGUF QuantizationYes
Quantization Typegguf
Model ArchitectureAutoModel
Licenseapache-2.0
Smaugredq (Daemontatox/smaugredq)

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Note: green Score (e.g. "73.2") means that the model is better than Daemontatox/smaugredq.

Rank the Smaugredq 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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Release v2024072803
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