What are the hardware requirements for Aura 2 Lightning?

Aura 2 Lightning requires approximately 3.1 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Aura 2 Lightning and how large is it?

Aura 2 Lightning is developed by waveforce-ai, a model with 1.6b 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 Aura 2 Lightning?

Aura 2 Lightning is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Aura 2 Lightning by waveforce-ai — VRAM 3.1GB

Name: Aura 2 Lightning
Author: waveforce-ai

Aura 2 Lightning is an open-source language model by waveforce-ai. Features: 1.6b LLM, VRAM: 3.1GB, License: apache-2.0, LLM Explorer Score: 0.34.

Base model:finetune:openai-com... Base model:openai-community/gp... Distillation Gpt2 Pytorch Region:us Safetensors Waveforce-ai

Model Card on HF 🤗: https://huggingface.co/waveforce-ai/Aura-2-Lightning

Aura 2 Lightning Parameters and Internals

LLM Name	Aura 2 Lightning
Repository 🤗	https://huggingface.co/waveforce-ai/Aura-2-Lightning
Base Model(s)	Gpt2 Xl openai-community/gpt2-xl
Model Size	1.6b
Required VRAM	3.1 GB
Updated	2026-09-26
Maintainer	waveforce-ai
Model Type	gpt2
Model Files	3.1 GB
Model Architecture	GPT2LMHeadModel
License	apache-2.0
Model Max Length	1024
Transformers Version	5.17.0
Tokenizer Class	GPT2Tokenizer
Padding Token	<\|endoftext\|>
Vocabulary Size	50257
Activation Function	gelu_new
Errors	replace

Rank the Aura 2 Lightning 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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