Japanese GPT Neox 3.6B by rinna

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Japanese GPT Neox 3.6B is an open-source language model by rinna. Features: 3.6b LLM, VRAM: 7.4GB, Context: 2K, License: mit, LLM Explorer Score: 0.15, Arc: 25, HellaSwag: 25.5, MMLU: 23.1.

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

Japanese GPT Neox 3.6B 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 3.6B Parameters and Internals

Model Type 
text generation, nlp
Additional Notes 
The model uses sentencepiece tokenizer with specific configurations such as byte fallback and `-add_dummy_prefix` turned off.
Training Details 
Data Sources:
Japanese CC-100, Japanese C4, Japanese Wikipedia
Data Volume:
312.5B tokens
Methodology:
traditional language modelling objective
Model Architecture:
A 36-layer, 2816-hidden-size transformer-based language model
Input Output 
Performance Tips:
set use_fast=False to make certain features function correctly.
LLM NameJapanese GPT Neox 3.6B
Repository 🤗https://huggingface.co/rinna/japanese-gpt-neox-3.6b 
Model Size3.6b
Required VRAM7.4 GB
Updated2025-09-23
Maintainerrinna
Model Typegpt_neox
Model Files  7.4 GB   7.4 GB
Supported Languagesja
Model ArchitectureGPTNeoXForCausalLM
Licensemit
Context Length2048
Model Max Length2048
Tokenizer ClassT5Tokenizer
Padding Token[PAD]
Vocabulary Size32000
Torch Data Typefloat16

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Rank the Japanese GPT Neox 3.6B 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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Release v20260328a