What are the hardware requirements for A3ON?

A3ON requires approximately 0.5 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed A3ON and how large is it?

A3ON is developed by kaiiddo, 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 A3ON?

A3ON is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

A3ON by kaiiddo — VRAM 0.5GB

Name: A3ON
Author: kaiiddo

A3ON is an open-source language model by kaiiddo. Features: 124.4m LLM, VRAM: 0.5GB, License: cc-by-4.0, LLM Explorer Score: 0.19.

A3on Ai-assistant Base model:finetune:openai-com... Base model:openai-community/gp... En Endpoints compatible Gpt2 Kaiiddo Region:us Safetensors

Model Card on HF 🤗: https://huggingface.co/kaiiddo/A3ON

A3ON Parameters and Internals

LLM Name	A3ON
Repository 🤗	https://huggingface.co/kaiiddo/A3ON
Base Model(s)	Gpt2 openai-community/gpt2
Model Size	124.4m
Required VRAM	0.5 GB
Updated	2026-07-06
Maintainer	kaiiddo
Model Type	gpt2
Model Files	0.5 GB
Supported Languages	en
Model Architecture	AutoModel
License	cc-by-4.0
Model Max Length	1024
Tokenizer Class	GPT2Tokenizer
Padding Token	<\|pad\|>
Errors	replace

Rank the A3ON 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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NeXGen Small	0K / 0.5 GB	25	2