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Gpt2 Base Bne by PlanTL-GOB-ES

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  Bne   Dataset:bne   Es   Gpt2-base-bne   National library of spain   Region:us   Spanish
Model Card on HF 🤗: https://huggingface.co/PlanTL-GOB-ES/gpt2-base-bne 

Gpt2 Base Bne Benchmarks

LLME Score: 0.27593
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Gpt2 Base Bne (PlanTL-GOB-ES/gpt2-base-bne)
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Gpt2 Base Bne Parameters and Internals

Model Type 
text generation
Use Cases 
Areas:
text generation
Applications:
general use or fine-tuning for specific language tasks
Additional Notes 
At the time of submission, no measures have been taken to estimate the bias and toxicity embedded in the model.
Supported Languages 
Spanish (High proficiency)
Training Details 
Data Sources:
National Library of Spain (BNE)
Data Volume:
570GB of clean and deduplicated text
Methodology:
Next token prediction with Byte-Pair Encoding (BPE)
Training Time:
3 days on 16 computing nodes with 4 NVIDIA V100 GPUs of 16GB VRAM each.
Hardware Used:
16 computing nodes, each with 4 NVIDIA V100 GPUs of 16GB VRAM
Model Architecture:
12-layer, 768-hidden, 12-heads
Input Output 
Accepted Modalities:
text
LLM NameGpt2 Base Bne
Repository 🤗https://huggingface.co/PlanTL-GOB-ES/gpt2-base-bne 
Required VRAM0.5 GB
Updated2025-08-12
MaintainerPlanTL-GOB-ES
Model Typegpt2
Model Files  0.5 GB
Supported Languageses
Model ArchitectureGPT2LMHeadModel
Licenseapache-2.0
Vocabulary Size50261

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Rank the Gpt2 Base Bne 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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