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GPT Neo 125M Dutch by yhavinga

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  Autotrain compatible Dataset:yhavinga/mc4 nl cleane...   Endpoints compatible   Gpt2   Gpt2-medium   Gpt neo   Jax   Nl   Pytorch   Region:us   Safetensors   Tensorboard
Model Card on HF 🤗: https://huggingface.co/yhavinga/gpt-neo-125M-dutch 

GPT Neo 125M Dutch Benchmarks

LLME Score: 0.001
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
GPT Neo 125M Dutch (yhavinga/gpt-neo-125M-dutch)
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GPT Neo 125M Dutch Parameters and Internals

Model Type 
text generation
Additional Notes 
This project was facilitated by compute from Google's TPU Research Cloud and utilized the HuggingFace Transformers ecosystem.
Supported Languages 
Dutch (proficient)
Training Details 
Data Sources:
cleaned Dutch mC4
Data Volume:
33 billion tokens
Methodology:
Trained from scratch on Dutch, using a BPE tokenizer
Context Length:
512
Training Time:
1 day 12 hours
Hardware Used:
TPU Research Cloud provided by Google
Model Architecture:
GPT-Neo
LLM NameGPT Neo 125M Dutch
Repository 🤗https://huggingface.co/yhavinga/gpt-neo-125M-dutch 
Model Size125m
Required VRAM0.6 GB
Updated2025-09-21
Maintaineryhavinga
Model Typegpt_neo
Model Files  0.6 GB   0.6 GB
Supported Languagesnl
Model ArchitectureGPTNeoForCausalLM
Context Length2048
Model Max Length2048
Transformers Version4.13.0
Tokenizer ClassGPT2Tokenizer
Vocabulary Size50257
Torch Data Typefloat32
Activation Functiongelu_new

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Note: green Score (e.g. "73.2") means that the model is better than yhavinga/gpt-neo-125M-dutch.

Rank the GPT Neo 125M Dutch 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 v20241124
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