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Alpaca Refine Tuned Gpt2 Large by LordNoah

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  1034   
  Arxiv:1910.09700   Autotrain compatible   Dataset:tatsu-lab/alpaca   Endpoints compatible   Gpt2   Region:us   Safetensors
Model Card on HF 🤗: https://huggingface.co/LordNoah/Alpaca_refine_tuned_gpt2_large 

Alpaca Refine Tuned Gpt2 Large Benchmarks

ARC: 27.56 vs 96.7 (so35)-71.5%
HellaSwag: 45.09 vs 95.3 (gpt4)-52.7%
MMLU: 26.91 vs 88.3 (so35)-69.5%
TruthfulQA: 37.91 vs 59 (gpt4)-35.7%
WinoGrande: 54.93 vs 87.5 (gpt4)-37.2%
GSM8K: 0.76 vs 96.4 (so35)-99.2%
LLME Score: 0.22608
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Alpaca Refine Tuned Gpt2 Large (LordNoah/Alpaca_refine_tuned_gpt2_large)

Alpaca Refine Tuned Gpt2 Large Parameters and Internals

Training Details 
Data Sources:
tatsu-lab/alpaca
Methodology:
RefineTune
LLM NameAlpaca Refine Tuned Gpt2 Large
Repository 🤗https://huggingface.co/LordNoah/Alpaca_refine_tuned_gpt2_large 
Model Size774m
Required VRAM3.1 GB
Updated2025-02-01
MaintainerLordNoah
Model Typegpt2
Model Files  3.1 GB
Model ArchitectureGPT2LMHeadModel
Licenseapache-2.0
Model Max Length1024
Transformers Version4.37.0
Tokenizer ClassGPT2Tokenizer
Vocabulary Size50257
Torch Data Typefloat32
Activation Functiongelu_new
Errorsreplace

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Note: green Score (e.g. "73.2") means that the model is better than LordNoah/Alpaca_refine_tuned_gpt2_large.

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Release v20241227
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