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Bilingual GPT Neox 4B by rinna

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  Arxiv:2404.01657   Autotrain compatible   Dataset:cc100   Dataset:eleutherai/pile   Dataset:mc4 Dataset:togethercomputer/redpa...   Dataset:wikipedia   En   Gpt neox   Ja   Pytorch   Region:us   Safetensors

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%
TruthfulQA: 45 vs 59 (gpt4)-23.7%
WinoGrande: 51.85 vs 87.5 (gpt4)-40.7%
LLME Score: 0.20609
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 Parameters and Internals

LLM NameBilingual GPT Neox 4B
Repository 🤗https://huggingface.co/rinna/bilingual-gpt-neox-4b 
Model Size4b
Required VRAM7.7 GB
Updated2024-10-18
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
Bilingual GPT Neox 4B (rinna/bilingual-gpt-neox-4b)

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Sft Tldr Pythia 1 4b2K / 5.7 GB16230
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...al GPT Neox 4B Instruction Ppo2K / 7.7 GB104315
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...x 4B Instruction Sft En Ja 84K2K / 7.6 GB111
Bilingual GPT Neox 4B 8K2K / 7.7 GB63223
StellarX 4B V0.22K / 16 GB12502
StellarX 4B V02K / 8.1 GB12421
StellarX 4B V0.2 GPTQ2K / 1.8 GB161
Note: green Score (e.g. "73.2") means that the model is better than rinna/bilingual-gpt-neox-4b.

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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Release v2024072803
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