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OPT 2.7B Erebus by KoboldAI

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OPT 2.7B Erebus is an open-source language model by KoboldAI. Features: 2.7b LLM, VRAM: 5.3GB, Context: 2K, License: other, HF Score: 37, LLM Explorer Score: 0.09, Arc: 34.4, HellaSwag: 60.9, MMLU: 26.7, TruthfulQA: 37.8, WinoGrande: 61.6, GSM8K: 0.3.

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

OPT 2.7B Erebus Benchmarks

ARC: 34.39 vs 96.7 (so35)-64.4%
HellaSwag: 60.91 vs 95.3 (gpt4)-36.1%
MMLU: 26.7 vs 88.3 (so35)-69.8%
TruthfulQA: 37.82 vs 59 (gpt4)-35.9%
WinoGrande: 61.64 vs 87.5 (gpt4)-29.6%
GSM8K: 0.3 vs 96.4 (so35)-99.7%
LLME Score: 0.087
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 Erebus (KoboldAI/OPT-2.7B-Erebus)
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OPT 2.7B Erebus Parameters and Internals

Model Type 
text generation
Use Cases 
Areas:
Text generation
Limitations:
Model is not suitable for use by minors, Strong NSFW bias
Additional Notes 
The model outputs X-rated content.
Training Details 
Data Sources:
Literotica (everything with 4.5/5 or higher), Sexstories (everything with 90 or higher), Dataset-G (private dataset of X-rated stories), Doc's Lab (all stories), Pike Dataset (novels with 'adult' rating), SoFurry (collection of various animals)
LLM NameOPT 2.7B Erebus
Repository 🤗https://huggingface.co/KoboldAI/OPT-2.7B-Erebus 
Model Size2.7b
Required VRAM5.3 GB
Updated2025-10-30
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-Erebus.

Rank the OPT 2.7B Erebus 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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