G4-LuneLight-31B

G4-LuneLight-31B

Provides a 31.3B-parameter language model built on ReadyArt's gemma-4-31B-it-scotoma-2, for people who run models on their own hardware. The card text here does not state its purpose.

Made by zerofata on Hugging Face. These notes are Mindket's, written from its model page and model card; the model's own files and license are on Hugging Face.

About

What it is: G4-LuneLight-31B is a language model from zerofata with 31.3B parameters, stored as Safetensors files. Hugging Face lists ReadyArt's gemma-4-31B-it-scotoma-2 as its base. The model card text available here is mostly page styling, so it does not say what the model was trained for.

Who it suits: It suits people who run large open-weight models on their own hardware and want to try a model built on this base. It is a poor fit if you need documented use cases or benchmark results.

Industry | Who uses it | How they use it | Example
Local AI | Hobbyists with strong hardware | Load the weights and chat with the model | Try a few prompts and judge the replies yourself
Research | Teams comparing open models | Add it to a comparison next to its base | Send the same prompts to both and compare the answers
Tooling | Developers testing model loaders | Use a large Safetensors model as a test case | Check that a loader handles a 62.5 GB set of files

You can skip it if you want a hosted chat service or a model with a documented purpose.

Where to use it:

• Windows, macOS and Linux with Python, to download the files
• Any tool that loads Safetensors weights, though the visible card text names none
• Your own computer, since the files are meant to be downloaded and run locally

Use case | Who | What they get back
Local text generation | Hobbyists | Replies from a 31.3B model on your own machine
Base comparison | Researchers | Side-by-side answers from this model and its base
Loader testing | Developers | A large real model to test file handling

How to set it up: You need these first:

• Python on Windows, macOS or Linux
• Disk space for about 62.5 GB of BF16 weights, or about 15.6 GB for a 4-bit copy, which is an estimate
• A tool that can load Safetensors weights

1. Install or update the Hugging Face download client.
2. Download this repository's files to your computer.
3. Open the model page on Hugging Face for the run steps, since the card text here does not list them.

pip install -U huggingface_hub
hf download zerofata/G4-LuneLight-31B

How to use it: After the download, you load the weights in your chosen tool and send the model prompts. The model page holds the card's own run steps, which are not in the text available here.

Tool | What it does
pip install -U huggingface_hub | Installs or updates Hugging Face's download client
hf download | Fetches a model repository's files to your computer

Example: You download the files, load them in a tool that reads Safetensors weights, and send the model a short question. It answers with generated text. The exact prompt style is not in the card text here, so follow the model page.

For newcomers and experts: This is a language model of 31.3B parameters that you run yourself, so check your disk and memory first. A first small step is to read the model page on Hugging Face, then fetch the files with the two commands above.

For readers who know the field, the repository holds BF16 Safetensors weights of about 62.5 GB and 31.3B parameters, built on a Gemma 4 31B instruction-tuned base according to its name. The card text here gives no training method, data or benchmark results, so test it against your own prompts. Others have published 6 quantized versions.

Download the files with hf download
Load the Safetensors weights
Send a prompt to the model
Read the generated reply

Good to know:

• Size: the BF16 files are about 62.5 GB, and a 4-bit copy is estimated near 15.6 GB.
• Documentation: the card text available here is page styling and names no purpose, training method or results.
• Other versions: people have published 6 quantized versions and no fine-tuned ones.

Title: Weight size by precision
BF16: 62.5 GB
4-bit estimate: 15.6 GB

• License: Apache 2.0.
• Cost to run: none named. You supply the hardware, and the files come from Hugging Face.
• Data it reaches: only the Hugging Face download of the model files, as far as the source shows.
• Not for: none named in the text available here.

On Hugging Face, 13 November 2026

• Parameters: 31.3B
• Weights: about 62.5 GB in BF16; about 15.6 GB at 4-bit (estimate)
• Formats: Safetensors
• Downloads in the last 30 days: 524
• Likes: 35
• License: apache-2.0
• Based on: ReadyArt/gemma-4-31B-it-scotoma-2
• Quantized versions: 6
• Tags: safetensors, gemma4

Links

• Model: https://huggingface.co/zerofata/G4-LuneLight-31B
• Files: https://huggingface.co/zerofata/G4-LuneLight-31B/tree/main

Get the model

Download its files with Hugging Face's command line:

pip install -U huggingface_hub
hf download zerofata/G4-LuneLight-31B

Then follow the usage in its model card. Nothing in this kit runs by itself.