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RYS XLarge by dnhkng

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RYS XLarge Benchmarks

MMLU Pro: 48.73
GPQA: 20.92
MUSR: 16.83
BBH: 59.27
IFEval: 79.86 vs 88 (so35)-9.3%
MATH Lvl 5: 37.92
LLME Score: 0.4837
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

RYS XLarge Parameters and Internals

LLM NameRYS XLarge
Repository 🤗https://huggingface.co/dnhkng/RYS-XLarge 
Model Size72b
Required VRAM156.3 GB
Updated2024-09-16
Maintainerdnhkng
Model Typeqwen2
Instruction-BasedYes
Model Files  8.8 GB: 1-of-18   8.8 GB: 2-of-18   8.8 GB: 3-of-18   8.8 GB: 4-of-18   8.8 GB: 5-of-18   8.8 GB: 6-of-18   8.8 GB: 7-of-18   8.8 GB: 8-of-18   8.8 GB: 9-of-18   8.8 GB: 10-of-18   8.8 GB: 11-of-18   8.8 GB: 12-of-18   8.8 GB: 13-of-18   8.8 GB: 14-of-18   8.8 GB: 15-of-18   8.8 GB: 16-of-18   8.8 GB: 17-of-18   6.7 GB: 18-of-18
Model ArchitectureQwen2ForCausalLM
Licensemit
Context Length32768
Model Max Length32768
Transformers Version4.41.0
Tokenizer ClassQwen2Tokenizer
Padding Token<|endoftext|>
Vocabulary Size151646
Torch Data Typebfloat16
Errorsreplace
RYS XLarge (dnhkng/RYS-XLarge)

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Note: green Score (e.g. "73.2") means that the model is better than dnhkng/RYS-XLarge.

Rank the RYS XLarge Capabilities

🆘 Have you tried this model? Rate its performance. This feedback would greatly assist ML community in identifying the most suitable model for their needs. Your contribution really does make a difference! 🌟

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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