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42dot Test Upload by chahyunmook

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42dot Test Upload is an open-source language model by chahyunmook. Features: 1.4b LLM, VRAM: 5.8GB, Context: 4K, License: cc-by-4.0, LLM Explorer Score: 0.13.

  Arxiv:1910.09700   Endpoints compatible   Ko   Llama   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/chahyunmook/42dot-test-upload 

42dot Test Upload Benchmarks

LLME Score: 0.12587
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
42dot Test Upload (chahyunmook/42dot-test-upload)
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42dot Test Upload Parameters and Internals

Model Type 
: More Information Needed
Additional Notes 
This model card has been automatically generated with many sections marked as 'More Information Needed.'
Supported Languages 
ko (More Information Needed)
LLM Name42dot Test Upload
Repository 🤗https://huggingface.co/chahyunmook/42dot-test-upload 
Model Size1.4b
Required VRAM5.8 GB
Updated2025-12-04
Maintainerchahyunmook
Model Typellama
Model Files  5.0 GB: 1-of-2   0.8 GB: 2-of-2
Supported Languagesko
Model ArchitectureLlamaForCausalLM
Licensecc-by-4.0
Context Length4096
Model Max Length4096
Transformers Version4.37.2
Tokenizer ClassGPT2TokenizerFast
Padding Token<||pad||>
Vocabulary Size50304
Torch Data Typefloat32
Errorsreplace

Best Alternatives to 42dot Test Upload

Best Alternatives
Context / RAM
Downloads
Likes
Llama 3.2 Hammered Four128K / 2.8 GB60
42dot V04K / 5.8 GB50
42dot Number4K / 5.8 GB50
42dot Label4K / 5.8 GB50
42dot Law4K / 5.8 GB50
MobileLLaMA 1.4B Chat2K / 5.5 GB48114120
MobileLLaMA 1.4B Base2K / 2.7 GB33420
ITT AF PLM 1.4B V0.12K / 5.8 GB70
MobileLLaMA 1.4B Base GGUF2K / 0.6 GB2492
Tinyfrank 1.4B2K / 2.7 GB32529
Note: green Score (e.g. "73.2") means that the model is better than chahyunmook/42dot-test-upload.

Rank the 42dot Test Upload Capabilities

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Instruction Following and Task Automation  
Factuality and Completeness of Knowledge  
Censorship and Alignment  
Data Analysis and Insight Generation  
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Text Summarization and Feature Extraction  
Code Generation  
Multi-Language Support and Translation  

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