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ZySec 7B by aihub-app

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ZySec 7B Benchmarks

ARC: 57.51 vs 96.7 (so35)-40.5%
HellaSwag: 79.73 vs 95.3 (gpt4)-16.3%
MMLU: 58.65 vs 88.3 (so35)-33.6%
TruthfulQA: 51.11 vs 59 (gpt4)-13.4%
WinoGrande: 74.51 vs 87.5 (gpt4)-14.8%
GSM8K: 28.96 vs 96.4 (so35)-70%
LLME Score: 0.22625
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

ZySec 7B Parameters and Internals

LLM NameZySec 7B
Repository 🤗https://huggingface.co/ZySec-AI/ZySec-7B 
Model Size7b
Required VRAM14.4 GB
Updated2024-08-20
Maintaineraihub-app
Model Typemistral
Model Files  4.9 GB: 1-of-3   5.0 GB: 2-of-3   4.5 GB: 3-of-3
Model ArchitectureMistralForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.39.0.dev0
Tokenizer ClassLlamaTokenizer
Padding Token</s>
Vocabulary Size32000
Torch Data Typefloat16
ZySec 7B (ZySec-AI/ZySec-7B)

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Note: green Score (e.g. "73.2") means that the model is better than ZySec-AI/ZySec-7B.

Rank the ZySec 7B 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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