What are the hardware requirements for Artificial Stupidity?

Artificial Stupidity requires approximately 0.5 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Artificial Stupidity and how large is it?

Artificial Stupidity is developed by ayushmaninbox, a model with 124.4m parameters. The model is published as open weights on Hugging Face and indexed on LLM Explorer with full benchmark history.

Where can I download or evaluate Artificial Stupidity?

Artificial Stupidity is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Artificial Stupidity by ayushmaninbox — VRAM 0.5GB

Name: Artificial Stupidity
Author: ayushmaninbox

Artificial Stupidity is an open-source language model by ayushmaninbox. Features: 124.4m LLM, VRAM: 0.5GB, License: mit, LLM Explorer Score: 0.34.

Base model:openai-community/gp... Base model:quantized:openai-co... En Finetuned Gpt2 Humor Onnx Region:us Safetensors

Model Card on HF 🤗: https://huggingface.co/ayushmaninbox/artificial-stupidity

Artificial Stupidity Parameters and Internals

LLM Name	Artificial Stupidity
Repository 🤗	https://huggingface.co/ayushmaninbox/artificial-stupidity
Base Model(s)	Gpt2 openai-community/gpt2
Model Size	124.4m
Required VRAM	0.5 GB
Updated	2026-08-19
Maintainer	ayushmaninbox
Model Type	gpt2
Model Files	0.5 GB
Supported Languages	en
Model Architecture	GPT2LMHeadModel
License	mit
Model Max Length	1024
Transformers Version	5.15.0
Tokenizer Class	GPT2Tokenizer
Padding Token	<\|endoftext\|>
Vocabulary Size	50257
Activation Function	gelu_new
Errors	replace

Rank the Artificial Stupidity 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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