Japanese GPT Neox Small by rinna

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  Arxiv:2101.00190   Arxiv:2404.01657   Autotrain compatible   Dataset:cc100   Dataset:mc4   Dataset:wikipedia   Gpt-neox   Gpt neox   Ja   Lm   Pytorch   Region:us   Safetensors

Japanese GPT Neox Small Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Japanese GPT Neox Small (rinna/japanese-gpt-neox-small)

Japanese GPT Neox Small Parameters and Internals

Model Type 
text generation, lm, nlp
Supported Languages 
ja (native)
Training Details 
Data Sources:
Japanese CC-100, Japanese C4, Japanese Wikipedia
Methodology:
Traditional language modelling objective
Model Architecture:
12-layer, 768-hidden-size transformer-based
Release Notes 
Version:
2023/03/20
Date:
2023/03/20
Notes:
Update the model weight and config files to be compatible with Huggingface's official GPT-NeoX implementation.
LLM NameJapanese GPT Neox Small
Repository ๐Ÿค—https://huggingface.co/rinna/japanese-gpt-neox-small 
Model Size203.6m
Required VRAM0.7 GB
Updated2025-02-22
Maintainerrinna
Model Typegpt_neox
Model Files  0.7 GB   0.7 GB
Supported Languagesja
Model ArchitectureGPTNeoXForCausalLM
Licensemit
Context Length2048
Model Max Length2048
Tokenizer ClassT5Tokenizer
Padding Token[PAD]
Vocabulary Size44416
Torch Data Typefloat32

Rank the Japanese GPT Neox Small 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 v20241227