OPT 2.7B Nerys V2 by KoboldAI

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  Arxiv:2205.01068   Autotrain compatible   En   Endpoints compatible   Opt   Pytorch   Region:us

OPT 2.7B Nerys V2 Benchmarks

OPT 2.7B Nerys V2 (KoboldAI/OPT-2.7B-Nerys-v2)
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OPT 2.7B Nerys V2 Parameters and Internals

Model Type 
text generation
Use Cases 
Applications:
text generation
Limitations:
Bias may exist based on gender, profession, race, and religion.
Training Details 
Data Sources:
Pike dataset: 2500 ebooks, CYOA dataset: CYS, Manga-v1 dataset: 50 Asian Light Novels
Methodology:
finetuning
Responsible Ai Considerations 
Fairness:
Bias may exist based on gender, profession, race, and religion.
LLM NameOPT 2.7B Nerys V2
Repository ๐Ÿค—https://huggingface.co/KoboldAI/OPT-2.7B-Nerys-v2 
Model Size2.7b
Required VRAM5.3 GB
Updated2025-09-14
MaintainerKoboldAI
Model Typeopt
Model Files  5.3 GB
Supported Languagesen
Model ArchitectureOPTForCausalLM
Licenseother
Context Length2048
Model Max Length2048
Transformers Version4.21.2
Tokenizer ClassGPT2Tokenizer
Beginning of Sentence Token</s>
End of Sentence Token</s>
Unk Token</s>
Vocabulary Size50265
Torch Data Typefloat16
Activation Functionrelu
Errorsreplace

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Note: green Score (e.g. "73.2") means that the model is better than KoboldAI/OPT-2.7B-Nerys-v2.

Rank the OPT 2.7B Nerys V2 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