Japanese GPT Neox 3.6B Instruction Ppo by rinna

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  Arxiv:1707.06347   Arxiv:2203.02155   Arxiv:2404.01657   Autotrain compatible Base model:finetune:rinna/japa... Base model:rinna/japanese-gpt-...   Dataset:anthropic/hh-rlhf   Gpt neox   Instruct   Ja   Lm   Pytorch   Region:us   Safetensors

Japanese GPT Neox 3.6B Instruction Ppo 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 Ppo (rinna/japanese-gpt-neox-3.6b-instruction-ppo)

Japanese GPT Neox 3.6B Instruction Ppo Parameters and Internals

Model Type 
text-generation, lm, nlp
Additional Notes 
The PPO model tends to generate repeated text more often than its SFT counterpart.
Supported Languages 
Japanese (Excellent)
Training Details 
Data Sources:
Anthropic/hh-rlhf
Methodology:
Supervised Fine-Tuning (SFT) and Reinforcement Learning using PPO based on RLHF
Model Architecture:
36-layer, 2816-hidden-size transformer-based
Input Output 
Input Format:
A special conversational format is expected, ending with 'ใ‚ทใ‚นใƒ†ใƒ : ' to prompt model response.
Accepted Modalities:
text
Performance Tips:
Set `repetition_penalty=1.1` for better generation performance.
LLM NameJapanese GPT Neox 3.6B Instruction Ppo
Repository ๐Ÿค—https://huggingface.co/rinna/japanese-gpt-neox-3.6b-instruction-ppo 
Base Model(s)  rinna/japanese-gpt-neox-3.6b   rinna/japanese-gpt-neox-3.6b
Model Size3.6b
Required VRAM7.4 GB
Updated2025-02-22
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-ppo.

Rank the Japanese GPT Neox 3.6B Instruction Ppo 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