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Gpt2 Alpaca by vicgalle

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  Alpaca   Autotrain compatible   Dataset:tatsu-lab/alpaca   Doi:10.57967/hf/1409   En   Endpoints compatible   Gpt2   Instruct   Instruct-tuning   Pytorch   Region:us   Safetensors
Model Card on HF 🤗: https://huggingface.co/vicgalle/gpt2-alpaca 

Gpt2 Alpaca Benchmarks

ARC: 22.87 vs 96.7 (so35)-76.3%
HellaSwag: 31.14 vs 95.3 (gpt4)-67.3%
MMLU: 26.26 vs 88.3 (so35)-70.3%
TruthfulQA: 36.22 vs 59 (gpt4)-38.6%
WinoGrande: 50.67 vs 87.5 (gpt4)-42.1%
LLME Score: 0.21088
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Gpt2 Alpaca (vicgalle/gpt2-alpaca)

Gpt2 Alpaca Parameters and Internals

Model Type 
text generation, instruct-tuning
Supported Languages 
en (high)
Training Details 
Data Sources:
tatsu-lab/alpaca
LLM NameGpt2 Alpaca
Repository 🤗https://huggingface.co/vicgalle/gpt2-alpaca 
Model Size137m
Required VRAM0.5 GB
Updated2025-02-05
Maintainervicgalle
Model Typegpt2
Instruction-BasedYes
Model Files  0.5 GB   0.5 GB   0.0 GB
Supported Languagesen
Model ArchitectureGPT2LMHeadModel
Licensemit
Model Max Length1024
Transformers Version4.25.1
Tokenizer ClassGPT2Tokenizer
Vocabulary Size50260
Torch Data Typefloat32
Activation Functiongelu_new

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Rank the Gpt2 Alpaca 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 v20241227
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