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OPT 2.7B Nerys V2 by KoboldAI

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OPT 2.7B Nerys V2 is an open-source language model by KoboldAI. Features: 2.7b LLM, VRAM: 5.3GB, Context: 2K, License: other, HF Score: 36.8, LLM Explorer Score: 0.08, Arc: 33.3, HellaSwag: 61.2, MMLU: 26.4, TruthfulQA: 37.2, WinoGrande: 62, GSM8K: 0.3.

  Arxiv:2205.01068   En   Endpoints compatible   Opt   Pytorch   Region:us
Model Card on HF 🤗: https://huggingface.co/KoboldAI/OPT-2.7B-Nerys-v2 

OPT 2.7B Nerys V2 Benchmarks

ARC: 33.28 vs 96.7 (so35)-65.6%
HellaSwag: 61.23 vs 95.3 (gpt4)-35.8%
MMLU: 26.44 vs 88.3 (so35)-70.1%
TruthfulQA: 37.23 vs 59 (gpt4)-36.9%
WinoGrande: 62.04 vs 87.5 (gpt4)-29.1%
GSM8K: 0.3 vs 96.4 (so35)-99.7%
LLME Score: 0.08356
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
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 🤗https://huggingface.co/KoboldAI/OPT-2.7B-Nerys-v2 
Model Size2.7b
Required VRAM5.3 GB
Updated2026-02-13
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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Opt 2.7B AWQ2K / 1.6 GB70
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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