Japanese GPT Neox 3.6B Instruction Sft by rinna

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Japanese GPT Neox 3.6B Instruction Sft is an open-source language model by rinna. Features: 3.6b LLM, VRAM: 7.4GB, Context: 2K, License: mit, Instruction-Based, LLM Explorer Score: 0.11.

  Arxiv:2404.01657   Autotrain compatible Base model:finetune:rinna/japa... Base model:rinna/japanese-gpt-...   Dataset:anthropic/hh-rlhf   Dataset:stanfordnlp/shp   Gpt neox   Instruct   Ja   Lm   Pytorch   Region:us   Safetensors

Japanese GPT Neox 3.6B Instruction Sft 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 Instruction Sft (rinna/japanese-gpt-neox-3.6b-instruction-sft)
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Japanese GPT Neox 3.6B Instruction Sft Parameters and Internals

LLM NameJapanese GPT Neox 3.6B Instruction Sft
Repository ๐Ÿค—https://huggingface.co/rinna/japanese-gpt-neox-3.6b-instruction-sft 
Base Model(s)  rinna/japanese-gpt-neox-3.6b   rinna/japanese-gpt-neox-3.6b
Model Size3.6b
Required VRAM7.4 GB
Updated2025-11-01
Maintainerrinna
Model Typegpt_neox
Instruction-BasedYes
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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Note: green Score (e.g. "73.2") means that the model is better than rinna/japanese-gpt-neox-3.6b-instruction-sft.

Rank the Japanese GPT Neox 3.6B Instruction Sft 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