What are the hardware requirements for Aoban 1 Base?

Aoban 1 Base requires approximately 0.3 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Aoban 1 Base and how large is it?

Aoban 1 Base is developed by Aobangaming, a model with 71.9m 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 Aoban 1 Base?

Aoban 1 Base is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Aoban 1 Base by Aobangaming — VRAM 0.3GB

Name: Aoban 1 Base
Author: Aobangaming

Aoban 1 Base is an open-source language model by Aobangaming. Features: 71.9m LLM, VRAM: 0.3GB, License: mit, LLM Explorer Score: 0.29.

Arxiv:1910.09700 Agent Art Conversational Custom code Dataset:agentlans/high-quality... Efficient En Fast Generative Gpt Great Lightning Region:us Safetensors Tasks

Model Card on HF 🤗: https://huggingface.co/Aobangaming/aoban-1-base

Aoban 1 Base Parameters and Internals

LLM Name	Aoban 1 Base
Repository 🤗	https://huggingface.co/Aobangaming/aoban-1-base
Model Size	71.9m
Required VRAM	0.3 GB
Updated	2026-10-15
Maintainer	Aobangaming
Model Type	lightning
Model Files	0.3 GB
Supported Languages	en
Model Architecture	LightningForCausalLM
License	mit
Transformers Version	5.17.0
Vocabulary Size	75000

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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