What are the hardware requirements for Lightning 30M Ft?

Lightning 30M Ft requires approximately 0.1 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Lightning 30M Ft and how large is it?

Lightning 30M Ft is developed by Aobangaming, a model with 30m 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 Lightning 30M Ft?

Lightning 30M Ft is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Lightning 30M Ft by Aobangaming — VRAM 0.1GB

Name: Lightning 30M Ft
Author: Aobangaming

Lightning 30M Ft is an open-source language model by Aobangaming. Features: 30m LLM, VRAM: 0.1GB, License: mit, LLM Explorer Score: 0.34.

Arxiv:1910.09700 Conversational Custom code Dataset:kmfoda/booksum En Generative Lightning Pytorch Region:us Safetensors

Model Card on HF 🤗: https://huggingface.co/Aobangaming/lightning-30m-ft

Lightning 30M Ft Parameters and Internals

LLM Name	Lightning 30M Ft
Repository 🤗	https://huggingface.co/Aobangaming/lightning-30m-ft
Model Size	30m
Required VRAM	0.1 GB
Updated	2026-09-15
Maintainer	Aobangaming
Model Type	lightning
Model Files	0.1 GB 0.1 GB
Supported Languages	en
Model Architecture	LightningForCausalLM
License	mit
Transformers Version	4.57.3
Vocabulary Size	50000

Rank the Lightning 30M Ft 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