Fairseq Dense 2.7B Nerys by KoboldAI

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  Autotrain compatible   En   Endpoints compatible   Pytorch   Region:us   Xglm

Fairseq Dense 2.7B Nerys Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Fairseq Dense 2.7B Nerys (KoboldAI/fairseq-dense-2.7B-Nerys)
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Fairseq Dense 2.7B Nerys Parameters and Internals

Model Type 
text generation
Use Cases 
Areas:
text generation
Limitations:
bias (gender, profession, race and religion)
Training Details 
Data Sources:
2500 ebooks in various genres (Pike dataset), CYOA dataset called CYS, 50 Asian Light Novels (Manga-v1 dataset)
Methodology:
Finetune of Fairseq's MoE dense model
Input Output 
Accepted Modalities:
text
LLM NameFairseq Dense 2.7B Nerys
Repository ๐Ÿค—https://huggingface.co/KoboldAI/fairseq-dense-2.7B-Nerys 
Model Size2.7b
Required VRAM5.3 GB
Updated2025-09-23
MaintainerKoboldAI
Model Typexglm
Model Files  5.3 GB
Supported Languagesen
Model ArchitectureXGLMForCausalLM
Licensemit
Context Length2048
Model Max Length2048
Transformers Version4.18.0
Tokenizer ClassGPT2Tokenizer
Beginning of Sentence Token<|endoftext|>
End of Sentence Token<|endoftext|>
Unk Token<|endoftext|>
Vocabulary Size50261
Torch Data Typefloat16
Activation Functiongelu
Errorsreplace

Best Alternatives to Fairseq Dense 2.7B Nerys

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Fairseq Dense 2.7B2K / 5.5 GB7413
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Note: green Score (e.g. "73.2") means that the model is better than KoboldAI/fairseq-dense-2.7B-Nerys.

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Instruction Following and Task Automation  
Factuality and Completeness of Knowledge  
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Data Analysis and Insight Generation  
Text Generation  
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124