Skybound Mysteries by nrmldays

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  Autotrain compatible   Conversational   Endpoints compatible   Gguf   Mistral   Q4   Quantized   Region:us

Skybound Mysteries Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
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Skybound Mysteries Parameters and Internals

LLM NameSkybound Mysteries
Repository ๐Ÿค—https://huggingface.co/nrmldays/skybound-mysteries 
Model Size7b
Required VRAM4.4 GB
Updated2025-06-09
Maintainernrmldays
Model Typemistral
Model Files  4.4 GB
GGUF QuantizationYes
Quantization Typegguf|q4|q4_k
Model ArchitectureMistralForCausalLM
Context Length32768
Model Max Length32768
Transformers Version4.38.2
Padding Token<|pad|>
Vocabulary Size32008
Torch Data Typebfloat16
Skybound Mysteries (nrmldays/skybound-mysteries)

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Note: green Score (e.g. "73.2") means that the model is better than nrmldays/skybound-mysteries.

Rank the Skybound Mysteries 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 v20241124