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Quokka 1.3B by Corianas

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Quokka 1.3B is an open-source language model by Corianas. Features: 1.3b LLM, VRAM: 2.7GB, License: apache-2.0, LLM Explorer Score: 0.12, Arc: 27.7, HellaSwag: 37.9, MMLU: 26.7.

  Arxiv:1910.09700   Dataset:guanaco/guanaco   Dataset:the pile   En   Endpoints compatible   Gpt2   Pytorch   Region:us   Safetensors   Tensorboard
Model Card on HF 🤗: https://huggingface.co/Corianas/Quokka_1.3b 

Quokka 1.3B Benchmarks

ARC: 27.73 vs 96.7 (so35)-71.3%
HellaSwag: 37.91 vs 95.3 (gpt4)-60.2%
MMLU: 26.66 vs 88.3 (so35)-69.8%
LLME Score: 0.11818
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Quokka 1.3B (Corianas/Quokka_1.3b)
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Quokka 1.3B Parameters and Internals

Use Cases 
Primary Use Cases:
GPT chatbot that can follow instructions
Limitations:
Not suitable for accurate use, do not use for medical or financial advice
Additional Notes 
Has limitations in knowledge about facts, better suited for understanding instructions than delivering accurate information.
Supported Languages 
en (NLP)
Training Details 
Data Sources:
the_pile, guanaco/guanaco
Methodology:
Finetuned using DataBricks Dolly Framework
Hardware Used:
8xA100s
LLM NameQuokka 1.3B
Repository 🤗https://huggingface.co/Corianas/Quokka_1.3b 
Model Size1.3b
Required VRAM2.7 GB
Updated2026-06-02
MaintainerCorianas
Model Typegpt2
Model Files  2.7 GB   2.7 GB   0.0 GB
Supported Languagesen
Model ArchitectureGPT2LMHeadModel
Licenseapache-2.0
Transformers Version4.25.1
Tokenizer ClassGPT2Tokenizer
Beginning of Sentence Token<|endoftext|>
End of Sentence Token<|endoftext|>
Unk Token<|endoftext|>
Vocabulary Size50260
Torch Data Typebfloat16
Activation Functiongelu
Errorsreplace

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Note: green Score (e.g. "73.2") means that the model is better than Corianas/Quokka_1.3b.

Rank the Quokka 1.3B Capabilities

🆘 Have you tried this model? Rate its performance. This feedback would greatly assist ML community in identifying the most suitable model for their needs. Your contribution really does make a difference! 🌟

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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