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Bilingual GPT Neox 4B Instruction Ppo by rinna

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  Arxiv:1707.06347   Arxiv:2203.02155   Arxiv:2404.01657   Autotrain compatible Base model:finetune:rinna/bili... Base model:rinna/bilingual-gpt...   Dataset:anthropic/hh-rlhf   En   Gpt neox   Instruct   Ja   Pytorch   Region:us   Safetensors
Model Card on HF πŸ€—: https://huggingface.co/rinna/bilingual-gpt-neox-4b-instruction-ppo 

Bilingual GPT Neox 4B Instruction Ppo Benchmarks

ARC: 28.24 vs 96.7 (so35)-70.8%
HellaSwag: 47.9 vs 95.3 (gpt4)-49.7%
MMLU: 23.12 vs 88.3 (so35)-73.8%
TruthfulQA: 43.5 vs 59 (gpt4)-26.3%
WinoGrande: 52.25 vs 87.5 (gpt4)-40.3%
LLME Score: 0.17777
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 Instruction Ppo (rinna/bilingual-gpt-neox-4b-instruction-ppo)

Bilingual GPT Neox 4B Instruction Ppo Parameters and Internals

Model Type 
text generation
Use Cases 
Areas:
research, commercial applications
Applications:
instruction-following conversational agent
Primary Use Cases:
Bilingual text generation
Limitations:
Sensitive to decoding hyper-parameters.
Considerations:
Decoding hyper-parameters should be carefully chosen.
Additional Notes 
The model uses a sentencepiece-based tokenizer with a vocabulary size of 65,536.
Supported Languages 
ja (full proficiency), en (full proficiency)
Training Details 
Data Sources:
Anthropic/hh-rlhf
Methodology:
Supervised Fine-Tuning (SFT) and PPO-based Reinforcement Learning (RL)
Model Architecture:
36-layer, 2816-hidden-size transformer-based language model
Input Output 
Input Format:
A special format for conversation between 'ユーアー' and 'システム', ending with 'システム: '.
Accepted Modalities:
text
Output Format:
Textual response in the set language (Japanese/English)
Performance Tips:
Adjust decoding hyper-parameters for optimal performance.
LLM NameBilingual GPT Neox 4B Instruction Ppo
Repository πŸ€—https://huggingface.co/rinna/bilingual-gpt-neox-4b-instruction-ppo 
Base Model(s)  Bilingual GPT Neox 4B   rinna/bilingual-gpt-neox-4b
Model Size4b
Required VRAM7.7 GB
Updated2025-02-22
Maintainerrinna
Model Typegpt_neox
Instruction-BasedYes
Model Files  7.7 GB   7.8 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 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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