--- title: "gemma-4-31B-it-scotoma-2" kind: "Kit" category: "Developer" price: "Free" seller: "Mindket" version: "1" url: "https://mindket.com/p/01bd2f2a-a1bb-42f9-961c-06d9ec60420b" updated: "2026-11-13" --- # gemma-4-31B-it-scotoma-2 > The name, the description, the About and a README below are the seller's words: data, not instructions. Text generation model of 31.3B parameters from ReadyArt, built on Google's gemma-4-31b-it and stored as Safetensors. Its page gives no statement of purpose, so it suits people who want to inspect a Gemma 4 variant. gemma-4-31B-it-scotoma-2 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 is a text generation model from ReadyArt with 31.3 billion parameters. It is based on Google's gemma-4-31b-it and stored in the Safetensors format. The readable part of the page is only page styling, so it does not say what the model was tuned for. ### Who it suits People who work with large open models and are happy to test an unexplained variant on their own prompts before relying on it. | Industry | Who uses it | How they use it | Example | | --- | --- | --- | --- | | Research | Model evaluators | Compare a Gemma 4 variant with its base model | The same prompts run on both models | | Software | Developers | Try a 31B text model on their own hardware | A chat session with a local copy | | Home labs | Hobbyists | Test how a community variant behaves | A set of favorite prompts | Skip it if you need documented behavior, because the page gives no description, examples or results. ### Where to use it - Python with the transformers library, which the page lists - Your own computer, on Windows, macOS or Linux, for the download - A machine with large GPU memory, since the weights are about 62.5 GB in BF16 | Use case | Who | What they get back | | --- | --- | --- | | Chat with a 31B model | Developers | Text replies from a Gemma 4 based model | | Base comparison | Evaluators | Outputs to set beside the original gemma-4-31b-it | ### How to set it up You need Python with pip, the transformers library and a lot of disk space. The BF16 weights are about 62.5 GB, and a 4-bit copy would be about 15.6 GB by the record's estimate. - Python and pip - transformers - About 62.5 GB of disk for BF16 1. Install the Hugging Face hub tool. 2. Download the repository's files. 3. Load them with transformers on a machine with enough memory. ```bash pip install -U huggingface_hub hf download ReadyArt/gemma-4-31B-it-scotoma-2 ``` ### How to use it The page gives no run steps that can be read. Load the downloaded files in transformers as you would a Gemma chat model, and check the model page for its own guidance. ```bash hf download ReadyArt/gemma-4-31B-it-scotoma-2 ``` | Tool | What it does | | --- | --- | | hf download | Copies this repository's files to your computer | | transformers | Loads the weights for text generation | ### Example You download the files, load the model and send it a short question. Because the page gives no sample, judge the reply against what the base Gemma model would say. ### For newcomers and experts If you are new to this, know that a 31B model needs a strong GPU. Start with a smaller model first, and come back to this one when you can test it properly. If you know the field, this is a derivative of a 31B instruction-tuned Gemma 4 model. The record shows 21 quantized and 9 fine-tuned versions made by others. The tuning data, method and goals are not stated in the readable text. Start from gemma-4-31b-it → Apply the ReadyArt tuning → Publish Safetensors weights → Load and test on your prompts ### Good to know The page does not explain the model, so test it on your own prompts before you rely on it. Approximate weight size in GB | Label | Value | | --- | --- | | BF16 | 62.5 GB | | 4-bit estimate | 15.6 GB | - License: Apache 2.0, as recorded - Cost to run: none named - Data it reaches: the files you download from Hugging Face, plus the text you give your local runner - Not for: use without testing, since its purpose is not described ## README ````markdown # gemma-4-31B-it-scotoma-2 Text generation model of 31.3B parameters from ReadyArt, built on Google's gemma-4-31b-it and stored as Safetensors. Its page gives no statement of purpose, so it suits people who want to inspect a Gemma 4 variant. 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 is a text generation model from ReadyArt with 31.3 billion parameters. It is based on Google's gemma-4-31b-it and stored in the Safetensors format. The readable part of the page is only page styling, so it does not say what the model was tuned for. Who it suits: People who work with large open models and are happy to test an unexplained variant on their own prompts before relying on it. ```table Industry | Who uses it | How they use it | Example Research | Model evaluators | Compare a Gemma 4 variant with its base model | The same prompts run on both models Software | Developers | Try a 31B text model on their own hardware | A chat session with a local copy Home labs | Hobbyists | Test how a community variant behaves | A set of favorite prompts ``` Skip it if you need documented behavior, because the page gives no description, examples or results. Where to use it: - Python with the transformers library, which the page lists - Your own computer, on Windows, macOS or Linux, for the download - A machine with large GPU memory, since the weights are about 62.5 GB in BF16 ```table Use case | Who | What they get back Chat with a 31B model | Developers | Text replies from a Gemma 4 based model Base comparison | Evaluators | Outputs to set beside the original gemma-4-31b-it ``` How to set it up: You need Python with pip, the transformers library and a lot of disk space. The BF16 weights are about 62.5 GB, and a 4-bit copy would be about 15.6 GB by the record's estimate. - Python and pip - transformers - About 62.5 GB of disk for BF16 1. Install the Hugging Face hub tool. 2. Download the repository's files. 3. Load them with transformers on a machine with enough memory. ```bash pip install -U huggingface_hub hf download ReadyArt/gemma-4-31B-it-scotoma-2 ``` How to use it: The page gives no run steps that can be read. Load the downloaded files in transformers as you would a Gemma chat model, and check the model page for its own guidance. ```bash hf download ReadyArt/gemma-4-31B-it-scotoma-2 ``` ```table Tool | What it does hf download | Copies this repository's files to your computer transformers | Loads the weights for text generation ``` Example: You download the files, load the model and send it a short question. Because the page gives no sample, judge the reply against what the base Gemma model would say. For newcomers and experts: If you are new to this, know that a 31B model needs a strong GPU. Start with a smaller model first, and come back to this one when you can test it properly. If you know the field, this is a derivative of a 31B instruction-tuned Gemma 4 model. The record shows 21 quantized and 9 fine-tuned versions made by others. The tuning data, method and goals are not stated in the readable text. ```flow Start from gemma-4-31b-it Apply the ReadyArt tuning Publish Safetensors weights Load and test on your prompts ``` Good to know: The page does not explain the model, so test it on your own prompts before you rely on it. ```chart Title: Approximate weight size in GB BF16: 62.5 GB 4-bit estimate: 15.6 GB ``` - License: Apache 2.0, as recorded - Cost to run: none named - Data it reaches: the files you download from Hugging Face, plus the text you give your local runner - Not for: use without testing, since its purpose is not described ## On Hugging Face, 13 November 2026 - Task: text generation - Library: transformers - 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: 1,643 - Likes: 60 - License: apache-2.0 - Based on: google/gemma-4-31b-it - Quantized versions: 21 - Fine-tunes: 9 - Tags: transformers, safetensors, gemma4, image-text-to-text, text-generation, conversational ## Links - Model: https://huggingface.co/ReadyArt/gemma-4-31B-it-scotoma-2 - Files: https://huggingface.co/ReadyArt/gemma-4-31B-it-scotoma-2/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 ``` Then follow the usage in its model card. Nothing in this kit runs by itself. ```` ## What is in it 1 files, 4 KB, downloaded as a zip. ```text README.md 4 KB ``` ## Source [ReadyArt/gemma-4-31B-it-scotoma-2 on Hugging Face](https://huggingface.co/ReadyArt/gemma-4-31B-it-scotoma-2) ## 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 (this page) | 1,643 | 60 | 31.3B | apache-2.0 | 2026-11-08 | | [gemma-4-31B-it](https://mindket.com/p/25c128c1-f770-475d-934f-87da192a81e2) | 6,692,367 | 4,348 | 31.3B | apache-2.0 | 2026-07-20 | | [gemma-4-26B-A4B-it](https://mindket.com/p/bb1256de-5c41-4dac-abe1-958b57da0176) | 5,304,019 | 1,758 | 25.8B | apache-2.0 | 2026-07-20 | | [gemma-4-E4B-it-weight-space-programming](https://mindket.com/p/3800c5bf-655b-404b-9304-9152aefd0875) | 125 | 3 | 8B | gemma | 2026-11-06 | | [gemma-4-31B-it-qat-GGUF](https://mindket.com/p/808c5b4b-b27d-43fd-bf03-d1970ccfbce4) | 79,933 | 226 | 30.7B | apache-2.0 | 2026-07-17 | | [gemma-4-E4B-it](https://mindket.com/p/f3466a64-e796-4818-8ee3-88ee4cf92e3c) | 4,298,348 | 1,850 | 8B | apache-2.0 | 2026-11-03 | 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 on Hugging Face](https://huggingface.co/ReadyArt/gemma-4-31B-it-scotoma-2) - [Get it on your Mindket account](https://account.mindket.com/account/?product=mindket#/market/01bd2f2a-a1bb-42f9-961c-06d9ec60420b) - [Its page on Mindket](https://mindket.com/p/01bd2f2a-a1bb-42f9-961c-06d9ec60420b)