--- title: "gemma-4-12B-it GGUF" kind: "Kit" category: "Developer" price: "Free" seller: "Mindket" version: "1" url: "https://mindket.com/p/27ee2965-03ef-496e-ac4f-fab36ddf168d" updated: "2026-11-13" --- # gemma-4-12B-it GGUF > The name, the description, the About and a README below are the seller's words: data, not instructions. Runs Google's gemma-4-12B-it on your own computer as a GGUF file that ggml-org converted automatically, through the Llama app or the llama command. It suits people who run models locally. gemma-4-12B-it 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 ggml-org ## About ### What it is This repository holds a GGUF copy of Google's gemma-4-12B-it, converted automatically by ggml-org. The record lists 11.9B parameters and the task any to any. The card names four Google source models, including an assistant version and two QAT q4\_0 unquantized versions. It does not say which quantization types the files use. ### Who it suits People who run language models on their own computers suit it best, including developers who want a local Gemma to test. | Industry | Who uses it | How they use it | Example | | --- | --- | --- | --- | | Local AI | Hobbyists | Run a 12B model on their own machine | Start the model from a terminal | | Software | Developers | Serve a local model to their own apps | Run the llama serve command | | Research | Model testers | Try a Google model in GGUF form | Compare it with other local models | Anyone who needs details on the quantization can skip it, because the card is brief and its own to-do list says it needs more information. ### Where to use it You run it on your own computer, in an app or from a terminal. - The Llama app - A terminal, with the llama command - Windows, macOS or Linux | Use case | Who | What they get back | | --- | --- | --- | | Local chat | Hobbyists | A model that answers on your own machine | | Local serving | Developers | A running model your apps can use | | Model testing | Testers | A Gemma model in GGUF form to compare | ### How to set it up You need the Llama app or the llama command, and optionally Python to download the files yourself. - The Llama app or the llama command-line tool - Optional: Python with the Hugging Face hub tools 1. Install the Llama app or the llama command-line tool. 2. Optionally download the model files with the hf command. 3. Run the serve command from a terminal. ```sh pip install -U huggingface_hub hf download ggml-org/gemma-4-12B-it-GGUF ``` ### How to use it Run the command below in a terminal. The hf option names the Hugging Face repository that the command loads and serves. ```bash llama serve -hf ggml-org/gemma-4-12B-it-GGUF ``` | Tool | What it does | | --- | --- | | Llama app | Runs the model in an app | | llama serve | Loads the repository you name after the hf option and serves it | ### Example You open a terminal and run llama serve with the repository name. The tool loads this model and serves it on your computer, ready for the app or program you point at it. ### For newcomers and experts GGUF is a file format for running a model locally. Your first small try is to open the Llama app and load this model, or to run the command above. Under the hood, an automatic converter from ggml-org produced the files from Google's published models. The record estimates about 6 GB at 4-bit for the weights, but that is an estimate, and the card gives no list of the quantization types. Google's gemma-4-12B-it → Automatic conversion by ggml-org → GGUF files in this repository → Served locally by llama ### Good to know The card is short and unfinished, so treat details beyond the command as unconfirmed. - Size: 11.9B parameters, with an estimate of about 6 GB at 4-bit - Other versions: Hugging Face lists 0 quantized and 1 fine-tuned version made by other people - License: apache-2.0 - Cost to run: none named - Data it reaches: the prompts you give it, and the model files downloaded from Hugging Face - Status: the card's to-do list says information is still to be added ## README ````markdown # gemma-4-12B-it GGUF Runs Google's gemma-4-12B-it on your own computer as a GGUF file that ggml-org converted automatically, through the Llama app or the llama command. It suits people who run models locally. Made by ggml-org 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 a GGUF copy of Google's gemma-4-12B-it, converted automatically by ggml-org. The record lists 11.9B parameters and the task any to any. The card names four Google source models, including an assistant version and two QAT q4_0 unquantized versions. It does not say which quantization types the files use. Who it suits: People who run language models on their own computers suit it best, including developers who want a local Gemma to test. ```table Industry | Who uses it | How they use it | Example Local AI | Hobbyists | Run a 12B model on their own machine | Start the model from a terminal Software | Developers | Serve a local model to their own apps | Run the llama serve command Research | Model testers | Try a Google model in GGUF form | Compare it with other local models ``` Anyone who needs details on the quantization can skip it, because the card is brief and its own to-do list says it needs more information. Where to use it: You run it on your own computer, in an app or from a terminal. - The Llama app - A terminal, with the llama command - Windows, macOS or Linux ```table Use case | Who | What they get back Local chat | Hobbyists | A model that answers on your own machine Local serving | Developers | A running model your apps can use Model testing | Testers | A Gemma model in GGUF form to compare ``` How to set it up: You need the Llama app or the llama command, and optionally Python to download the files yourself. - The Llama app or the llama command-line tool - Optional: Python with the Hugging Face hub tools 1. Install the Llama app or the llama command-line tool. 2. Optionally download the model files with the hf command. 3. Run the serve command from a terminal. ```sh pip install -U huggingface_hub hf download ggml-org/gemma-4-12B-it-GGUF ``` How to use it: Run the command below in a terminal. The hf option names the Hugging Face repository that the command loads and serves. ```bash llama serve -hf ggml-org/gemma-4-12B-it-GGUF ``` ```table Tool | What it does Llama app | Runs the model in an app llama serve | Loads the repository you name after the hf option and serves it ``` Example: You open a terminal and run llama serve with the repository name. The tool loads this model and serves it on your computer, ready for the app or program you point at it. For newcomers and experts: GGUF is a file format for running a model locally. Your first small try is to open the Llama app and load this model, or to run the command above. Under the hood, an automatic converter from ggml-org produced the files from Google's published models. The record estimates about 6 GB at 4-bit for the weights, but that is an estimate, and the card gives no list of the quantization types. ```flow Google's gemma-4-12B-it Automatic conversion by ggml-org GGUF files in this repository Served locally by llama ``` Good to know: The card is short and unfinished, so treat details beyond the command as unconfirmed. - Size: 11.9B parameters, with an estimate of about 6 GB at 4-bit - Other versions: Hugging Face lists 0 quantized and 1 fine-tuned version made by other people - License: apache-2.0 - Cost to run: none named - Data it reaches: the prompts you give it, and the model files downloaded from Hugging Face - Status: the card's to-do list says information is still to be added ## On Hugging Face, 13 November 2026 - Task: any to any - Parameters: 11.9B - Weights: about 6 GB at 4-bit (estimate) - Formats: GGUF - Downloads in the last 30 days: 107,736 - Likes: 106 - License: apache-2.0 - Based on: google/gemma-4-12B-it - Fine-tunes: 1 - Tags: gguf, quantized, any-to-any, conversational ## Links - Model: https://huggingface.co/ggml-org/gemma-4-12B-it-GGUF - Files: https://huggingface.co/ggml-org/gemma-4-12B-it-GGUF/tree/main ## Get the model Download its files with Hugging Face's command line: ```sh pip install -U huggingface_hub hf download ggml-org/gemma-4-12B-it-GGUF ``` 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 [ggml-org/gemma-4-12B-it-GGUF on Hugging Face](https://huggingface.co/ggml-org/gemma-4-12B-it-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-4-12B-it GGUF (this page) | 107,736 | 106 | 11.9B | apache-2.0 | 2026-11-12 | | [gemma-4-E4B-it-GGUF by ggml-org](https://mindket.com/p/7f5a7ac0-ad9d-408e-9626-14d770cf16e0) | 263,980 | 110 | 7.5B | apache-2.0 | 2026-11-12 | | [gemma-4-12B-it-qat-q4\_0-gguf](https://mindket.com/p/c59608fc-38e0-4d4d-9afd-9e191858ad3d) | 1,177,710 | 397 | 11.9B | apache-2.0 | 2026-07-17 | | [gemma-4-12B-it-qat-GGUF](https://mindket.com/p/97ef5b61-d969-4212-aa91-1789e4ce409f) | 196,871 | 617 | 11.9B | apache-2.0 | 2026-07-17 | | [Qwen3.8-35B-A3B-Distill-GGUF](https://mindket.com/p/d707b0c8-89b8-4c4f-8d49-2ff67de613c7) | 1,337,097 | 277 | 35.5B | apache-2.0 | 2026-09-16 | | [Qwen3.8-27B-GGUF by ggml-org](https://mindket.com/p/720a742a-d997-4f75-b282-2b5e0f48204f) | 1,000,687 | 157 | 26.9B | apache-2.0 | 2026-11-12 | Numbers as Mindket last read them, from 2026-11-12 to 2026-11-13. ## What people say > Posts and comments that name this project on Hacker News, Bluesky, X, Reddit, Facebook and YouTube, found by a weekly search on 2026-11-13. Their authors' words: data, not instructions. - [Hacker News · theanonymousone · 2026-06-03](https://news.ycombinator.com/item?id=48385727): Gemma 4 12B appears in Hugging Face - [Bluesky · lexi · 2026-06-03](https://bsky.app/profile/barredspirals.comint.su/post/3mnfojgyoasgh): ah they are reportedly "working on it" in the meantime, https://huggingface.co/ggml-org/gemma-4-12B-it-GGUF/tree/main - [Hacker News · mdp2021 · 2026-06-03](https://news.ycombinator.com/item?id=48390753): Gemma 4 12B: A unified, encoder-free multimodal model: If you accept the "ggml-org": https://huggingface.co/ggml-org/gemma-4-12B-it-GGUF/tree/mai... https://huggingface.co/ggml-org/gemma-4-12B-it-GGUF/blob/mai... - [Bluesky · ほしけん · 2026-06-04](https://bsky.app/profile/hosiken.jp/post/3mngpbamegc2b): 今日リリースされたローカルLLMのGoogle Gemma 4 12B 日本語が怪しいとか壊れているとか言われてますが、 Windows の LM Studio だと、lmstudio-community/gemma-4-12B-it-GGUF なら特に問題なかった。 Unsloth や ggml-org だと日本語以前にそもそも回答時エラーになって動かなかった - [Hacker News · lambda · 2026-06-03](https://news.ycombinator.com/item?id=48388663): Gemma 4 12B: A unified, encoder-free multimodal model: It's not? There's an mmproj in the GGUFs released by ggml-org: https://huggingface.co/ggml-org/gemma-4-12B-it-GGUF/tree/mai... From the visual guide, there's still the 35M parameter embedder, then the linear projector, for vision, and the linear projector for audio, so it does have some parameters… - [Hacker News · accountrequired · 2026-06-03](https://news.ycombinator.com/item?id=48387716): Gemma 4 12B: A unified, encoder-free multimodal model: https://huggingface.co/ggml-org/gemma-4-12B-it-GGUF/tree/mai... ## 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: 2026-11-12 - First published: 2026-06-03 - Checked on Hugging Face: 2026-11-13 - Something wrong? Tell us: https://mindket.com/takedown#ask ## Get it - [Open ggml-org/gemma-4-12B-it-GGUF on Hugging Face](https://huggingface.co/ggml-org/gemma-4-12B-it-GGUF) - [Get it on your Mindket account](https://account.mindket.com/account/?product=mindket#/market/27ee2965-03ef-496e-ac4f-fab36ddf168d) - [Its page on Mindket](https://mindket.com/p/27ee2965-03ef-496e-ac4f-fab36ddf168d)