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Bilingual GPT Neox 4B by rinna

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Bilingual GPT Neox 4B is an open-source language model by rinna. Features: 4b LLM, VRAM: 7.7GB, Context: 2K, License: mit, LLM Explorer Score: 0.15, Arc: 29.2, HellaSwag: 43.7, MMLU: 23.1.

  Arxiv:2404.01657   Dataset:cc100   Dataset:eleutherai/pile   Dataset:mc4 Dataset:togethercomputer/redpa...   Dataset:wikipedia   En   Gpt neox   Ja   Pytorch   Region:us   Safetensors
Model Card on HF 🤗: https://huggingface.co/rinna/bilingual-gpt-neox-4b 

Bilingual GPT Neox 4B Benchmarks

ARC: 29.18 vs 96.7 (so35)-69.8%
HellaSwag: 43.73 vs 95.3 (gpt4)-54.1%
MMLU: 23.1 vs 88.3 (so35)-73.8%
LLME Score: 0.15102
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Bilingual GPT Neox 4B (rinna/bilingual-gpt-neox-4b)
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Bilingual GPT Neox 4B Parameters and Internals

Model Type 
bilingual, text generation
Supported Languages 
ja (native), en (proficient)
Training Details 
Data Sources:
Japanese CC-100, mc4, EleutherAI/pile, togethercomputer/RedPajama-Data-1T, Wikipedia
Data Volume:
524B tokens
Methodology:
36-layer, 2816-hidden-size transformer
Model Architecture:
transformer-based language model
Input Output 
Accepted Modalities:
text
Performance Tips:
Since the model is sensitive to decoding hyper-parameters, it is suggested to explore the best setting for your task.
LLM NameBilingual GPT Neox 4B
Repository 🤗https://huggingface.co/rinna/bilingual-gpt-neox-4b 
Model Size4b
Required VRAM7.7 GB
Updated2026-05-01
Maintainerrinna
Model Typegpt_neox
Model Files  7.7 GB   7.7 GB
Supported Languagesja en
Model ArchitectureGPTNeoXForCausalLM
Licensemit
Context Length2048
Model Max Length2048
Tokenizer ClassT5Tokenizer
Padding Token[PAD]
Vocabulary Size65536
Torch Data Typefloat16

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Rank the Bilingual GPT Neox 4B 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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