What are the hardware requirements for Lightning 60M?

Lightning 60M requires approximately 0.3 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Lightning 60M and how large is it?

Lightning 60M is developed by Aobangaming, a model with 60m 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 60M?

Lightning 60M is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Lightning 60M by Aobangaming — VRAM 0.3GB

Name: Lightning 60M
Author: Aobangaming

Lightning 60M is an open-source language model by Aobangaming. Features: 60m LLM, VRAM: 0.3GB, License: mit, LLM Explorer Score: 0.31.

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

Model Card on HF 🤗: https://huggingface.co/Aobangaming/lightning-60m

Lightning 60M Parameters and Internals

LLM Name	Lightning 60M
Repository 🤗	https://huggingface.co/Aobangaming/lightning-60m
Model Size	60m
Required VRAM	0.3 GB
Updated	2026-09-17
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	65830

Rank the Lightning 60M 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