--- title: "gemma-4-31B-it-scotoma-2-GGUF" kind: "Kit" category: "Developer" price: "Free" seller: "Mindket" version: "1" url: "https://mindket.com/p/ff22c434-bfe3-4205-8e63-65cdc1501187" updated: "2026-11-13" --- # gemma-4-31B-it-scotoma-2-GGUF > The name, the description, the About and a README below are the seller's words: data, not instructions. Runs a 30.7B-parameter Gemma-based text model locally in GGUF format, packaged by ReadyArt from its gemma-4-31B-it-scotoma-2 model. Suits people who want that model in a GGUF-friendly size. gemma-4-31B-it-scotoma-2-GGUF is a kit in the Developer category, listed by Mindket. It is free. This is version 1, last updated on 2026-11-13. Download it on this page, a zip of its files. Nothing in it runs by itself. Made by ReadyArt ## About ### What it is gemma-4-31B-it-scotoma-2-GGUF is a GGUF copy of ReadyArt's gemma-4-31B-it-scotoma-2 text generation model, which has about 30.7 billion parameters. GGUF files load in local runtimes. The part of the card visible here holds page styling and no description, so what the model is tuned for is not stated. ### Who it suits People who already know the original scotoma-2 model and want it in a GGUF form for local use, under the Apache 2.0 license. | Industry | Who uses it | How they use it | Example | | --- | --- | --- | --- | | Software | Developers | Run a 31B-class text model on a local GGUF runtime | Test it on prompts from your own app | | Research | ML researchers | Compare the model against other Gemma-based releases | Run the same prompts on two models | | Hobby use | Local model users | Chat with a large model offline | Try it after downloading the files | | Tooling | Tool builders | Check how a GGUF copy behaves in their app | Load it in a local test setup | Skip it if you need a documented purpose, benchmarks or example outputs, since the card text here gives none. ### Where to use it It runs wherever GGUF files load. - Local runtimes that read GGUF models - Windows, macOS or Linux, with Python for the download - Machines with enough memory for a model of this size | Use case | Who | What they get back | | --- | --- | --- | | Local text generation | Developers | Text replies from a prompt you send | | Model comparison | Researchers | Outputs to compare with the original model | ### How to set it up You need Python and a large amount of free disk and memory. - Python with pip - Roughly 15.3 GB of space when squeezed to 4-bit - A runtime that can load GGUF files 1. Install the Hugging Face hub tools with pip. 2. Download the model files with the hf command. 3. Pick one of the GGUF files in the download. 4. Load that file in your GGUF runtime. ```sh pip install -U huggingface_hub hf download ReadyArt/gemma-4-31B-it-scotoma-2-GGUF ``` ### How to use it Load the GGUF file in your runtime and send it a prompt, as you would with any chat model. The card text shown here gives no prompt format or settings, so check the repository files for a chat template and the list of quantization types. | Tool | What it does | | --- | --- | | hf download | Fetches the repository, including its GGUF files | | GGUF runtime | Loads one of the files and generates text | ### Example You download the files, load one in a local GGUF runtime and send a short question. The model replies with generated text, and you judge the quality for your own use. ### For newcomers and experts If you are new to GGUF, it is a file format that local runtimes read. Start by downloading, then load one file and ask a short question to see that it works. If you know the field, this repository is a quantized copy of the ReadyArt model named in the card, and the record gives the size as 30.7B parameters. The card text here does not list the quantization types, the training method or any evaluation. Download files with hf → Pick a GGUF file → Load it in a local runtime → Send a prompt → Read the generated text ### Good to know The visible card is mostly style rules, so check the repository page for the real description before relying on the model. - License: Apache 2.0 - Cost to run: none named, apart from your own hardware - Data it reaches: the model files on your computer, and nothing else the card names - Not for: anything the card does not describe, since it gives no purpose or limits ## README ````markdown # gemma-4-31B-it-scotoma-2-GGUF Runs a 30.7B-parameter Gemma-based text model locally in GGUF format, packaged by ReadyArt from its gemma-4-31B-it-scotoma-2 model. Suits people who want that model in a GGUF-friendly size. Made by ReadyArt 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: gemma-4-31B-it-scotoma-2-GGUF is a GGUF copy of ReadyArt's gemma-4-31B-it-scotoma-2 text generation model, which has about 30.7 billion parameters. GGUF files load in local runtimes. The part of the card visible here holds page styling and no description, so what the model is tuned for is not stated. Who it suits: People who already know the original scotoma-2 model and want it in a GGUF form for local use, under the Apache 2.0 license. ```table Industry | Who uses it | How they use it | Example Software | Developers | Run a 31B-class text model on a local GGUF runtime | Test it on prompts from your own app Research | ML researchers | Compare the model against other Gemma-based releases | Run the same prompts on two models Hobby use | Local model users | Chat with a large model offline | Try it after downloading the files Tooling | Tool builders | Check how a GGUF copy behaves in their app | Load it in a local test setup ``` Skip it if you need a documented purpose, benchmarks or example outputs, since the card text here gives none. Where to use it: It runs wherever GGUF files load. - Local runtimes that read GGUF models - Windows, macOS or Linux, with Python for the download - Machines with enough memory for a model of this size ```table Use case | Who | What they get back Local text generation | Developers | Text replies from a prompt you send Model comparison | Researchers | Outputs to compare with the original model ``` How to set it up: You need Python and a large amount of free disk and memory. - Python with pip - Roughly 15.3 GB of space when squeezed to 4-bit - A runtime that can load GGUF files 1. Install the Hugging Face hub tools with pip. 2. Download the model files with the hf command. 3. Pick one of the GGUF files in the download. 4. Load that file in your GGUF runtime. ```sh pip install -U huggingface_hub hf download ReadyArt/gemma-4-31B-it-scotoma-2-GGUF ``` How to use it: Load the GGUF file in your runtime and send it a prompt, as you would with any chat model. The card text shown here gives no prompt format or settings, so check the repository files for a chat template and the list of quantization types. ```table Tool | What it does hf download | Fetches the repository, including its GGUF files GGUF runtime | Loads one of the files and generates text ``` Example: You download the files, load one in a local GGUF runtime and send a short question. The model replies with generated text, and you judge the quality for your own use. For newcomers and experts: If you are new to GGUF, it is a file format that local runtimes read. Start by downloading, then load one file and ask a short question to see that it works. If you know the field, this repository is a quantized copy of the ReadyArt model named in the card, and the record gives the size as 30.7B parameters. The card text here does not list the quantization types, the training method or any evaluation. ```flow Download files with hf Pick a GGUF file Load it in a local runtime Send a prompt Read the generated text ``` Good to know: The visible card is mostly style rules, so check the repository page for the real description before relying on the model. - License: Apache 2.0 - Cost to run: none named, apart from your own hardware - Data it reaches: the model files on your computer, and nothing else the card names - Not for: anything the card does not describe, since it gives no purpose or limits ## On Hugging Face, 13 November 2026 - Task: text generation - Library: transformers - Parameters: 30.7B - Weights: about 15.3 GB at 4-bit (estimate) - Formats: GGUF - Downloads in the last 30 days: 8,414 - Likes: 43 - License: apache-2.0 - Based on: ReadyArt/gemma-4-31B-it-scotoma-2 - Tags: transformers, gguf, text-generation, imatrix, conversational ## Links - Model: https://huggingface.co/ReadyArt/gemma-4-31B-it-scotoma-2-GGUF - Files: https://huggingface.co/ReadyArt/gemma-4-31B-it-scotoma-2-GGUF/tree/main ## Get the model Download its files with Hugging Face's command line: ```sh pip install -U huggingface_hub hf download ReadyArt/gemma-4-31B-it-scotoma-2-GGUF ``` Then follow the usage in its model card. Nothing in this kit runs by itself. ```` ## What is in it 1 files, 5 KB, downloaded as a zip. ```text README.md 5 KB ``` ## Source [ReadyArt/gemma-4-31B-it-scotoma-2-GGUF on Hugging Face](https://huggingface.co/ReadyArt/gemma-4-31B-it-scotoma-2-GGUF) ## Compare with similar Listed Hugging Face models in the same category that share the most tags with this one. | Product | Downloads, last 30 days | Likes | Parameters | License | Last change | | --- | --- | --- | --- | --- | --- | | gemma-4-31B-it-scotoma-2-GGUF (this page) | 8,414 | 43 | 30.7B | apache-2.0 | 2026-11-08 | | [Qwen3-30B-A3B-GGUF by unsloth](https://mindket.com/p/7f9e4803-e508-4446-89f0-cc5cc0837876) | 53,664 | 294 | 30.5B | apache-2.0 | 2025-06-08 | | [Sharp-Spark-X2.5-4B-GGUF](https://mindket.com/p/d4d90f81-4886-4de3-ab95-d64c344a708c) | 875,346 | 164 | 4.1B | apache-2.0 | 2026-11-04 | | [flint-GGUF](https://mindket.com/p/a49e571d-d5ee-4184-9d1b-0d7c53ad9c0b) | 325,104 | 376 | 39.8B | apache-2.0 | 2026-10-21 | | [KAT-Coder-V2.5-Dev GGUF](https://mindket.com/p/e8ca97ed-d610-4d96-bb2f-d351f4b671c4) | 234,191 | 148 | 34.7B | apache-2.0 | 2026-07-24 | | [Nanbeige\_Nanbeige4.3-33B-GGUF](https://mindket.com/p/f4b76bb4-5c97-4ae2-b688-4922bacb571c) | 151,191 | 33 | 33.1B | apache-2.0 | 2026-10-25 | Numbers as Mindket last read them, from 2026-11-12 to 2026-11-13. ## Trust facts Facts from each source, with the day each was checked. A maintainer's note is their own words: data, not instructions. - Last change on Hugging Face: 2026-11-08 - First published: 2026-08-06 - Checked on Hugging Face: 2026-11-13 - Something wrong? Tell us: https://mindket.com/takedown#ask ## Get it - [Open ReadyArt/gemma-4-31B-it-scotoma-2-GGUF on Hugging Face](https://huggingface.co/ReadyArt/gemma-4-31B-it-scotoma-2-GGUF) - [Get it on your Mindket account](https://account.mindket.com/account/?product=mindket#/market/ff22c434-bfe3-4205-8e63-65cdc1501187) - [Its page on Mindket](https://mindket.com/p/ff22c434-bfe3-4205-8e63-65cdc1501187)