--- title: "Granite-4.2-3B (GGUF)" kind: "Kit" category: "Developer" price: "Free" seller: "Mindket" version: "1" url: "https://mindket.com/p/24db28e7-d76b-4ffe-8d15-971b0aa84470" updated: "2026-11-13" --- # Granite-4.2-3B (GGUF) > The name, the description, the About and a README below are the seller's words: data, not instructions. Packages IBM's Granite 4.2 3B text model as GGUF files for local use. The 4-bit weights are estimated at about 1.8 GB, for people who want a compact model under Apache 2.0. Granite-4.2-3B (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 ibm-granite ## About ### What it is This repository holds the GGUF version of IBM's Granite-4.2-3B, a language model with about 3.7B parameters. GGUF is a single-file format meant for running a model on your own machine. The card is short and sends you to the original model's card for details. ### Who it suits It suits people who want a compact text model on their own computer under a license that allows commercial use. The repository is popular, with 279,159 downloads in the last 30 days. Who runs it | Industry | Who uses it | How they use it | Example | | --- | --- | --- | --- | | Software | Developers | Try a small language model on a local machine | A test of a local text feature | | Research | Hobbyists and students | Study a compact model without a large GPU | Compare it with the original model | | IT | Small teams | Keep text processing on their own computers | A private helper for internal notes | If you need the full original model or its details, you can skip it. The card points to the original model's page. ### Where to use it - Windows, macOS or Linux with Python, for downloading the files - Local apps that load GGUF files, which the card does not name - The transformers library, which is the library listed for the repository Jobs it does | Use case | Who | What they get back | | --- | --- | --- | | Local text generation | Developers | A model file small enough for an ordinary computer | | Comparing a model and its GGUF copy | Researchers | The same Granite 4.2 3B in a different format | ### How to set it up - Python on Windows, macOS or Linux - Room for about 1.8 GB of files at 4-bit, which is an estimate - The Hugging Face tools below, to fetch the files 1. Install the Hugging Face Hub tools. 2. Download the repository files. 3. Open the model in an app that reads GGUF, following the original model's card. ```sh pip install -U huggingface_hub hf download ibm-granite/granite-4.2-3b-GGUF ``` ### How to use it The visible card text gives no run command. It tells you to read the original model's card for the details. The download command above gets the files, and the app you load them in sets how you talk to the model. ```sh hf download ibm-granite/granite-4.2-3b-GGUF ``` ### Example You download the GGUF files and open them in a local app that reads this format. You then type a question and read the reply the model writes on your own computer. The card shows no sample reply. ### For newcomers and experts If you are new, this is a small AI that writes text, packed into a file format made for home computers. The first small thing to try is downloading the files and reading the original model's card. If you know the field, this is a quantized conversion of ibm-granite/granite-4.2-3b, and the card adds no benchmarks or run notes of its own. The trade-off is detail: the shorter file loses some precision against the original weights, and the card does not say by how much. Download the GGUF files from Hugging Face → Open them in an app that reads GGUF → Ask the model a question → Read the reply on your own machine ### Good to know - Parameters: about 3.7B. - Size: about 1.8 GB at 4-bit, which Hugging Face gives as an estimate. - Variants: one quantized version of this repository exists and no fine-tuned ones. - Details: the card sends you to the original model's page for everything else. - License: apache-2.0. - Cost to run: no API key, account or paid service is named. - Data it reaches: you download files from Hugging Face, and the model reaches only what your own app gives it. - Not for: anyone who needs the full original weights or documented benchmarks, which this card does not give. ## README ````markdown # Granite-4.2-3B (GGUF) Packages IBM's Granite 4.2 3B text model as GGUF files for local use. The 4-bit weights are estimated at about 1.8 GB, for people who want a compact model under Apache 2.0. Made by ibm-granite 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: This repository holds the GGUF version of IBM's Granite-4.2-3B, a language model with about 3.7B parameters. GGUF is a single-file format meant for running a model on your own machine. The card is short and sends you to the original model's card for details. Who it suits: It suits people who want a compact text model on their own computer under a license that allows commercial use. The repository is popular, with 279,159 downloads in the last 30 days. ```table Title: Who runs it Industry | Who uses it | How they use it | Example Software | Developers | Try a small language model on a local machine | A test of a local text feature Research | Hobbyists and students | Study a compact model without a large GPU | Compare it with the original model IT | Small teams | Keep text processing on their own computers | A private helper for internal notes ``` If you need the full original model or its details, you can skip it. The card points to the original model's page. Where to use it: - Windows, macOS or Linux with Python, for downloading the files - Local apps that load GGUF files, which the card does not name - The transformers library, which is the library listed for the repository ```table Title: Jobs it does Use case | Who | What they get back Local text generation | Developers | A model file small enough for an ordinary computer Comparing a model and its GGUF copy | Researchers | The same Granite 4.2 3B in a different format ``` How to set it up: - Python on Windows, macOS or Linux - Room for about 1.8 GB of files at 4-bit, which is an estimate - The Hugging Face tools below, to fetch the files 1. Install the Hugging Face Hub tools. 2. Download the repository files. 3. Open the model in an app that reads GGUF, following the original model's card. ```sh pip install -U huggingface_hub hf download ibm-granite/granite-4.2-3b-GGUF ``` How to use it: The visible card text gives no run command. It tells you to read the original model's card for the details. The download command above gets the files, and the app you load them in sets how you talk to the model. ```sh hf download ibm-granite/granite-4.2-3b-GGUF ``` Example: You download the GGUF files and open them in a local app that reads this format. You then type a question and read the reply the model writes on your own computer. The card shows no sample reply. For newcomers and experts: If you are new, this is a small AI that writes text, packed into a file format made for home computers. The first small thing to try is downloading the files and reading the original model's card. If you know the field, this is a quantized conversion of ibm-granite/granite-4.2-3b, and the card adds no benchmarks or run notes of its own. The trade-off is detail: the shorter file loses some precision against the original weights, and the card does not say by how much. ```flow Download the GGUF files from Hugging Face Open them in an app that reads GGUF Ask the model a question Read the reply on your own machine ``` Good to know: - Parameters: about 3.7B. - Size: about 1.8 GB at 4-bit, which Hugging Face gives as an estimate. - Variants: one quantized version of this repository exists and no fine-tuned ones. - Details: the card sends you to the original model's page for everything else. - License: apache-2.0. - Cost to run: no API key, account or paid service is named. - Data it reaches: you download files from Hugging Face, and the model reaches only what your own app gives it. - Not for: anyone who needs the full original weights or documented benchmarks, which this card does not give. ## On Hugging Face, 13 November 2026 - Library: transformers - Parameters: 3.7B - Weights: about 1.8 GB at 4-bit (estimate) - Formats: GGUF - Downloads in the last 30 days: 276,584 - Likes: 47 - License: apache-2.0 - Based on: ibm-granite/granite-4.2-3b - Quantized versions: 1 - Tags: transformers, gguf, language, granite-4.2, conversational ## Links - Model: https://huggingface.co/ibm-granite/granite-4.2-3b-GGUF - Files: https://huggingface.co/ibm-granite/granite-4.2-3b-GGUF/tree/main ## Get the model Download its files with Hugging Face's command line: ```sh pip install -U huggingface_hub hf download ibm-granite/granite-4.2-3b-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 [ibm-granite/granite-4.2-3b-GGUF on Hugging Face](https://huggingface.co/ibm-granite/granite-4.2-3b-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 | | --- | --- | --- | --- | --- | --- | | Granite-4.2-3B (GGUF) (this page) | 276,584 | 47 | 3.7B | apache-2.0 | 2026-09-02 | | [granite-4.2-8b GGUF](https://mindket.com/p/5d8a9663-2dc1-4b42-8af0-3957acc6f766) | 282,269 | 49 | 8.8B | apache-2.0 | 2026-09-02 | | [granite-4.1-8b-GGUF](https://mindket.com/p/76b5ef39-7d07-4088-9c8d-b587cac9bbdd) | 4,426 | 56 | 8.8B | apache-2.0 | 2026-04-30 | | [granite-4.2-3b-GGUF](https://mindket.com/p/af4e7b51-883e-456a-a647-54e6480f8ced) | 6,928 | 9 | 3.7B | apache-2.0 | 2026-08-25 | | [Granite-4.0-H-350M](https://mindket.com/p/21b2a6c9-5734-4482-823e-9d778f4bb26f) | 4,734 | 114 | 340M | apache-2.0 | 2025-10-23 | | [Granite-4.2-8B](https://mindket.com/p/eb4e1435-d0a8-430c-97be-a621f084168f) | 61,674 | 120 | 8.8B | apache-2.0 | 2026-10-20 | 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: 2026-09-02 - First published: 2026-08-12 - Checked on Hugging Face: 2026-11-13 - Something wrong? Tell us: https://mindket.com/takedown#ask ## Get it - [Open ibm-granite/granite-4.2-3b-GGUF on Hugging Face](https://huggingface.co/ibm-granite/granite-4.2-3b-GGUF) - [Get it on your Mindket account](https://account.mindket.com/account/?product=mindket#/market/24db28e7-d76b-4ffe-8d15-971b0aa84470) - [Its page on Mindket](https://mindket.com/p/24db28e7-d76b-4ffe-8d15-971b0aa84470)