Alpaca Tuned Gpt2 by LordNoah

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Alpaca Tuned Gpt2 is an open-source language model by LordNoah. Features: 774m LLM, VRAM: 3.1GB, License: apache-2.0, LLM Explorer Score: 0.17, Arc: 26.5, HellaSwag: 44.8, MMLU: 27.2, GSM8K: 0.8.

  Arxiv:1910.09700   Autotrain compatible   Dataset:tatsu-lab/alpaca   En   Endpoints compatible   Gpt2   Region:us   Safetensors

Alpaca Tuned Gpt2 Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

Alpaca Tuned Gpt2 Parameters and Internals

Model Type 
GPT-2
Training Details 
Data Sources:
tatsu-lab/alpaca
LLM NameAlpaca Tuned Gpt2
Repository 🤗https://huggingface.co/LordNoah/Alpaca-tuned-gpt2 
Model Size774m
Required VRAM3.1 GB
Updated2025-02-02
MaintainerLordNoah
Model Typegpt2
Model Files  3.1 GB
Supported Languagesen
Model ArchitectureGPT2LMHeadModel
Licenseapache-2.0
Model Max Length1024
Transformers Version4.36.2
Tokenizer ClassGPT2Tokenizer
Vocabulary Size50257
Torch Data Typefloat32
Activation Functiongelu_new
Errorsreplace

Best Alternatives to Alpaca Tuned Gpt2

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Context / RAM
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ProtGPT2 With Pad0K / 3.1 GB140
...T2 774M CINDER SHOW MULTI CHAT0K / 0 GB892
Alpaca Refine Gpt2 E1 Se00K / 3.1 GB10810
Alpaca Spin Gpt2 E0 Se10K / 3.1 GB10820
Alpaca Spin Gpt2 E1 Se00K / 3.1 GB10660
Alpaca Refine Gpt2 E0 Se10K / 3.1 GB10710
Note: green Score (e.g. "73.2") means that the model is better than LordNoah/Alpaca-tuned-gpt2.

Rank the Alpaca Tuned Gpt2 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 v20260328a