What are the hardware requirements for Luna Zero 110M?

Luna Zero 110M requires approximately 0.4 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Luna Zero 110M and how large is it?

Luna Zero 110M is developed by Lozens, a model with 110m 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 Luna Zero 110M?

Luna Zero 110M is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Luna Zero 110M by Lozens — VRAM 0.4GB

Name: Luna Zero 110M
Author: Lozens

Luna Zero 110M is an open-source language model by Lozens. Features: 110m LLM, VRAM: 0.4GB, License: apache-2.0, LLM Explorer Score: 0.31.

Decoder-only From-scratch Luna zero Pytorch Region:us Safetensors Vi Vietnamese

Model Card on HF 🤗: https://huggingface.co/Lozens/Luna-Zero-110M

Luna Zero 110M Parameters and Internals

LLM Name	Luna Zero 110M
Repository 🤗	https://huggingface.co/Lozens/Luna-Zero-110M
Model Size	110m
Required VRAM	0.4 GB
Updated	2026-09-08
Maintainer	Lozens
Model Type	luna_zero
Model Files	0.4 GB
Supported Languages	vi
Model Architecture	LunaZeroGPT
License	apache-2.0
Is Biased	0
Vocabulary Size	32000

Rank the Luna Zero 110M 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