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GPT Neo Pl 125M by mbien

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  Autotrain compatible   Dataset:wikipedia   Endpoints compatible   Generated from trainer   Gpt neo   Model-index   Pl   Pytorch   Region:us   Safetensors   Tensorboard
Model Card on HF 🤗: https://huggingface.co/mbien/gpt-neo-pl-125m 

GPT Neo Pl 125M Benchmarks

LLME Score: 0.11858
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
GPT Neo Pl 125M (mbien/gpt-neo-pl-125m)

GPT Neo Pl 125M Parameters and Internals

Model Type 
text generation
Additional Notes 
More information on model description, intended uses, and limitations is needed.
Training Details 
Data Sources:
wikipedia 20220720.pl
Data Volume:
Unknown
Methodology:
The training involved standard procedures for causal language modeling with special hyperparameters and settings specific to this dataset and task.
LLM NameGPT Neo Pl 125M
Repository 🤗https://huggingface.co/mbien/gpt-neo-pl-125m 
Model Size125m
Required VRAM0.6 GB
Updated2025-04-29
Maintainermbien
Model Typegpt_neo
Model Files  0.6 GB   0.6 GB   0.0 GB
Supported Languagespl
Model ArchitectureGPTNeoForCausalLM
Context Length2048
Model Max Length2048
Transformers Version4.22.0.dev0
Tokenizer ClassGPT2Tokenizer
Vocabulary Size50265
Torch Data Typefloat32
Activation Functiongelu_new

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Note: green Score (e.g. "73.2") means that the model is better than mbien/gpt-neo-pl-125m.

Rank the GPT Neo Pl 125M 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 v20241227
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