--- title: "Alpie Seed 9B GGUF" kind: "Kit" category: "Developer" price: "Free" seller: "Mindket" version: "1" url: "https://mindket.com/p/62317d7c-b6d3-499f-a963-0ee3a0c57db2" updated: "2026-11-12" --- # Alpie Seed 9B GGUF > The name, the description, the About and a README below are the seller's words: data, not instructions. Runs Alpie Seed 9B, an image-and-text model from 169Pi AI, on your own machine through GGUF files in three bit depths. Suits developers who want local vision-language chat. Alpie Seed 9B GGUF is a kit in the Developer category, listed by Mindket. It is free. This is version 1, last updated on 2026-11-12. Download it on this page, a zip of its files. Nothing in it runs by itself. Made by 169Pi ## About ### What it is These are GGUF quantized copies of Alpie Seed 9B, an open-weight vision-language model from 169Pi AI. The files are meant for local use on desktops, workstations and some phones. They come in three bit depths, so you can trade memory against quality. ### Who it suits Developers and researchers who want an image-and-text model running offline on their own hardware. | Industry | Who uses it | How they use it | Example | | --- | --- | --- | --- | | Software | Developers | Run a vision-language model locally | Ask a question about the contents of an image | | Research | Researchers | Compare quantization levels for size and quality | Run the 2-bit and 4-bit builds on the same prompts | | Mobile | App tinkerers | Run the model offline on a phone | The card shows a phone demo in PocketPal | If you want the full-precision model, you can skip these quantized copies. ### Where to use it - llama.cpp on a desktop or workstation - Ollama, with ready-made tags - PocketPal on a phone - Kaggle Models, where the model is also listed | Use case | Who | What they get back | | --- | --- | --- | | Image understanding | Developers | Text answers about a picture, using the vision tag | | Reasoning and coding | Students and developers | Help with math problems, code and debugging | | Offline chat | Anyone with a capable device | A local assistant with no network needed | ### How to set it up - Python with pip, or Ollama installed - Memory for the build you choose, from about 3.8 GB to 6.6 GB for the Ollama tags - A runtime that reads GGUF, such as llama.cpp 1. Install the Hugging Face hub package and download the GGUF files, or skip this and use Ollama. 2. Pick a quantization that fits your memory. 3. Run it with llama.cpp or Ollama. ```sh pip install -U huggingface_hub hf download 169Pi/Alpie_Seed_GGUF ``` ### How to use it With Ollama, run the default tag, or add a tag after the model name to choose a smaller build or the vision build. ```bash ollama run 169pi/alpie-seed ``` ```bash ollama run 169pi/alpie-seed:q2 ollama run 169pi/alpie-seed:vision ``` | Tool | What it does | | --- | --- | | alpie-seed:latest | The default build, about 5.6 GB, text input | | alpie-seed:q2 | The smallest build, about 3.8 GB, text input | | alpie-seed:q3 | A mid-size build, about 4.6 GB, text input | | alpie-seed:vision | About 6.6 GB, takes text and images | ### Example You start the vision tag and send a photo together with a question about what is in it. The model answers in text. ### For newcomers and experts If you are new, begin with the default Ollama tag and ask a plain question. Move to the vision tag when you want to send images. Q2 uses the least memory, Q3 sits in the middle and Q4 keeps the most fidelity, so Q4 suits desktops and workstations. The base model has a native 262K context window, and the Ollama builds list 256K. Real sizes depend on the GGUF variant, the context length and the runtime. Choose a quantization level → Get the GGUF files or an Ollama tag → Run it in llama.cpp or Ollama → Send text, or images with the vision tag ### Good to know - Only the vision tag takes images, and the other listed Ollama tags take text - Q2 suits memory-constrained devices - License: Apache 2.0 - Cost to run: none named, you supply the hardware - Data it reaches: the prompts and images you send, and the files you download - Not for: sending images to the text-only tags Ollama download size | Label | Value | | --- | --- | | latest | 5.6 GB | | q2 | 3.8 GB | | q3 | 4.6 GB | | vision | 6.6 GB | ## README ````markdown # Alpie Seed 9B GGUF Runs Alpie Seed 9B, an image-and-text model from 169Pi AI, on your own machine through GGUF files in three bit depths. Suits developers who want local vision-language chat. Made by 169Pi 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: These are GGUF quantized copies of Alpie Seed 9B, an open-weight vision-language model from 169Pi AI. The files are meant for local use on desktops, workstations and some phones. They come in three bit depths, so you can trade memory against quality. Who it suits: Developers and researchers who want an image-and-text model running offline on their own hardware. ```table Industry | Who uses it | How they use it | Example Software | Developers | Run a vision-language model locally | Ask a question about the contents of an image Research | Researchers | Compare quantization levels for size and quality | Run the 2-bit and 4-bit builds on the same prompts Mobile | App tinkerers | Run the model offline on a phone | The card shows a phone demo in PocketPal ``` If you want the full-precision model, you can skip these quantized copies. Where to use it: - llama.cpp on a desktop or workstation - Ollama, with ready-made tags - PocketPal on a phone - Kaggle Models, where the model is also listed ```table Use case | Who | What they get back Image understanding | Developers | Text answers about a picture, using the vision tag Reasoning and coding | Students and developers | Help with math problems, code and debugging Offline chat | Anyone with a capable device | A local assistant with no network needed ``` How to set it up: - Python with pip, or Ollama installed - Memory for the build you choose, from about 3.8 GB to 6.6 GB for the Ollama tags - A runtime that reads GGUF, such as llama.cpp 1. Install the Hugging Face hub package and download the GGUF files, or skip this and use Ollama. 2. Pick a quantization that fits your memory. 3. Run it with llama.cpp or Ollama. ```sh pip install -U huggingface_hub hf download 169Pi/Alpie_Seed_GGUF ``` How to use it: With Ollama, run the default tag, or add a tag after the model name to choose a smaller build or the vision build. ```bash ollama run 169pi/alpie-seed ``` ```bash ollama run 169pi/alpie-seed:q2 ollama run 169pi/alpie-seed:vision ``` ```table Tool | What it does alpie-seed:latest | The default build, about 5.6 GB, text input alpie-seed:q2 | The smallest build, about 3.8 GB, text input alpie-seed:q3 | A mid-size build, about 4.6 GB, text input alpie-seed:vision | About 6.6 GB, takes text and images ``` Example: You start the vision tag and send a photo together with a question about what is in it. The model answers in text. For newcomers and experts: If you are new, begin with the default Ollama tag and ask a plain question. Move to the vision tag when you want to send images. Q2 uses the least memory, Q3 sits in the middle and Q4 keeps the most fidelity, so Q4 suits desktops and workstations. The base model has a native 262K context window, and the Ollama builds list 256K. Real sizes depend on the GGUF variant, the context length and the runtime. ```flow Choose a quantization level Get the GGUF files or an Ollama tag Run it in llama.cpp or Ollama Send text, or images with the vision tag ``` Good to know: - Only the vision tag takes images, and the other listed Ollama tags take text - Q2 suits memory-constrained devices - License: Apache 2.0 - Cost to run: none named, you supply the hardware - Data it reaches: the prompts and images you send, and the files you download - Not for: sending images to the text-only tags ```chart Title: Ollama download size latest: 5.6 GB q2: 3.8 GB q3: 4.6 GB vision: 6.6 GB ``` ## On Hugging Face, 13 November 2026 - Task: image text to text - Library: gguf - Parameters: 9B - Weights: about 4.5 GB at 4-bit (estimate) - Formats: GGUF - Downloads in the last 30 days: 1,346 - Likes: 13 - License: apache-2.0 - Based on: 169Pi/Alpie_seed - Tags: gguf, alpie, 169pi, quantized, local-inference, vision-language, multimodal, reasoning, coding, llama.cpp, 9b, apache-2.0 ## Links - Model: https://huggingface.co/169Pi/Alpie_Seed_GGUF - Files: https://huggingface.co/169Pi/Alpie_Seed_GGUF/tree/main ## Get the model Download its files with Hugging Face's command line: ```sh pip install -U huggingface_hub hf download 169Pi/Alpie_Seed_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 [169Pi/Alpie_Seed_GGUF on Hugging Face](https://huggingface.co/169Pi/Alpie_Seed_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 | | --- | --- | --- | --- | --- | --- | | Alpie Seed 9B GGUF (this page) | 1,346 | 13 | 9B | apache-2.0 | 2026-11-06 | | [Alpie Seed 9B](https://mindket.com/p/bc1f3692-0627-48ba-bef6-6018012a7c6c) | 741 | 26 | 9.4B | apache-2.0 | 2026-11-12 | | [Qwen3.8-27B-Ridge-GGUF](https://mindket.com/p/f254bd76-fee2-4e04-80ac-a73f9621c088) | 292,932 | 369 | 27.3B | apache-2.0 | 2026-08-15 | | [Unlimited-OCR-2-GGUF](https://mindket.com/p/0d8a371b-6f90-4b59-8dd6-b520e35b577b) | 8,452 | 8 | 2.9B | mit | 2026-11-01 | | [Tess-4.5-27B GGUF](https://mindket.com/p/2c9f4a01-ed9d-4dd7-94a5-94a5fe30c6a8) | 1,095,620 | 65 | 26.9B | apache-2.0 | 2026-11-08 | | [Gemma4-12B v2 Coding + Agentic Edition](https://mindket.com/p/97d1d60d-f19f-421c-a409-1c64ebd17541) | 92,024 | 1,773 | 11.9B | apache-2.0 | 2026-06-19 | 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: 2026-11-06 - First published: 2026-11-04 - Checked on Hugging Face: 2026-11-12 - Something wrong? Tell us: https://mindket.com/takedown#ask ## Get it - [Open 169Pi/Alpie_Seed_GGUF on Hugging Face](https://huggingface.co/169Pi/Alpie_Seed_GGUF) - [Get it on your Mindket account](https://account.mindket.com/account/?product=mindket#/market/62317d7c-b6d3-499f-a963-0ee3a0c57db2) - [Its page on Mindket](https://mindket.com/p/62317d7c-b6d3-499f-a963-0ee3a0c57db2)