--- title: "Qwen3.5-0.8B-weight-space-programming-GGUF by NotCherry" kind: "Kit" category: "Developer" price: "Free" seller: "Mindket" version: "1" url: "https://mindket.com/p/ab2cda48-8af8-4517-8b27-ea68db4495c5" updated: "2026-11-13" --- # Qwen3.5-0.8B-weight-space-programming-GGUF by NotCherry > The name, the description, the About and a README below are the seller's words: data, not instructions. Packages the Qwen3.5-0.8B weight-space-programming model as GGUF files for llama.cpp, with a 4-bit text model and a separate vision projector for image input. Qwen3.5-0.8B-weight-space-programming-GGUF by NotCherry 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 NotCherry ## About ### What it is This repository holds a GGUF conversion of the Qwen3.5-0.8B weight-space-programming model by RikiyaT. It is a format change only, not a new model and not changed weights. It has two files, a 4-bit text model and a vision projector for image input. ### Who it suits It suits people who run models locally with llama.cpp and want a small model that can also take images. The original model's card holds the details of what it is for. | Industry | Who uses it | How they use it | Example | | --- | --- | --- | --- | | Local AI | llama.cpp users | Run the quantized text model on a modest computer | Loading the Q4\_K\_M file in llama.cpp | | Software | Developers testing image prompts | Pair the text file with the vision projector | Sending an image prompt with the matching projector file | | Research | People following the original model | Try the original checkpoint in a GGUF runtime | Checking how the weights behave in llama.cpp | People who want the original safetensors weights or evaluation results should use the original model instead. ### Where to use it - llama.cpp on Windows, macOS or Linux - Any other tool that reads GGUF files - Python, only for downloading the files with the Hugging Face tools | Use case | Who | What they get back | | --- | --- | --- | | Text prompts | Local model users | Replies from the 4-bit text model | | Image prompts | Developers | Replies that take an image, using the vision projector file | ### How to set it up - Python, for the download command - llama.cpp, to run the GGUF files - Disk space for about 386 MB of 4-bit weights, plus the projector file 1. Install the Hugging Face hub package. 2. Download the files in this repository. 3. Point llama.cpp at the text file, and add the projector file for images. ```sh pip install -U huggingface_hub ``` ```sh hf download NotCherry/Qwen3.5-0.8B-weight-space-programming-GGUF ``` ### How to use it Run the text file in llama.cpp for text prompts. For image prompts, pass the matching projector file with the --mmproj option. The card gives no full run command, so check the llama.cpp help for the rest. | Tool | What it does | | --- | --- | | Q4\_K\_M file | Holds the 4-bit text model, made with llama.cpp | | mmproj file | Holds the F16 vision projector for image input | ### Example You download the repository, load the Q4\_K\_M file in llama.cpp and add the projector file with --mmproj, then send an image together with a question. The card shows no sample prompt or output. ### For newcomers and experts GGUF is a file format that tools like llama.cpp can load. A first small step is to download the files and open the text file in a GGUF-capable app. For what the model was built to do, read the original card. The conversion started from the original safetensors checkpoint, then used llama-quantize with Q4\_K\_M. The vision projector stays in F16 to support image input. The author makes no evaluation or quality claims for the converted files. Original safetensors checkpoint → Converted to GGUF with llama.cpp → Text model quantized to Q4\_K\_M → Vision projector kept in F16 ### Good to know - License: Apache 2.0, inherited from the original model. - Cost to run: none named. The steps need no API key or paid service. - Data it reaches: it downloads files from the Hugging Face Hub, then runs locally in your own GGUF tool. - Not for: judging model quality. The card makes no evaluation claims for this conversion. - The record lists 773M parameters. ## README ````markdown # Qwen3.5-0.8B-weight-space-programming-GGUF by NotCherry Packages the Qwen3.5-0.8B weight-space-programming model as GGUF files for llama.cpp, with a 4-bit text model and a separate vision projector for image input. Made by NotCherry 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 conversion of the Qwen3.5-0.8B weight-space-programming model by RikiyaT. It is a format change only, not a new model and not changed weights. It has two files, a 4-bit text model and a vision projector for image input. Who it suits: It suits people who run models locally with llama.cpp and want a small model that can also take images. The original model's card holds the details of what it is for. ```table Industry | Who uses it | How they use it | Example Local AI | llama.cpp users | Run the quantized text model on a modest computer | Loading the Q4_K_M file in llama.cpp Software | Developers testing image prompts | Pair the text file with the vision projector | Sending an image prompt with the matching projector file Research | People following the original model | Try the original checkpoint in a GGUF runtime | Checking how the weights behave in llama.cpp ``` People who want the original safetensors weights or evaluation results should use the original model instead. Where to use it: - llama.cpp on Windows, macOS or Linux - Any other tool that reads GGUF files - Python, only for downloading the files with the Hugging Face tools ```table Use case | Who | What they get back Text prompts | Local model users | Replies from the 4-bit text model Image prompts | Developers | Replies that take an image, using the vision projector file ``` How to set it up: - Python, for the download command - llama.cpp, to run the GGUF files - Disk space for about 386 MB of 4-bit weights, plus the projector file 1. Install the Hugging Face hub package. 2. Download the files in this repository. 3. Point llama.cpp at the text file, and add the projector file for images. ```sh pip install -U huggingface_hub ``` ```sh hf download NotCherry/Qwen3.5-0.8B-weight-space-programming-GGUF ``` How to use it: Run the text file in llama.cpp for text prompts. For image prompts, pass the matching projector file with the --mmproj option. The card gives no full run command, so check the llama.cpp help for the rest. ```table Tool | What it does Q4_K_M file | Holds the 4-bit text model, made with llama.cpp mmproj file | Holds the F16 vision projector for image input ``` Example: You download the repository, load the Q4_K_M file in llama.cpp and add the projector file with --mmproj, then send an image together with a question. The card shows no sample prompt or output. For newcomers and experts: GGUF is a file format that tools like llama.cpp can load. A first small step is to download the files and open the text file in a GGUF-capable app. For what the model was built to do, read the original card. The conversion started from the original safetensors checkpoint, then used llama-quantize with Q4_K_M. The vision projector stays in F16 to support image input. The author makes no evaluation or quality claims for the converted files. ```flow Original safetensors checkpoint Converted to GGUF with llama.cpp Text model quantized to Q4_K_M Vision projector kept in F16 ``` Good to know: - License: Apache 2.0, inherited from the original model. - Cost to run: none named. The steps need no API key or paid service. - Data it reaches: it downloads files from the Hugging Face Hub, then runs locally in your own GGUF tool. - Not for: judging model quality. The card makes no evaluation claims for this conversion. - The record lists 773M parameters. ## On Hugging Face, 13 November 2026 - Task: image text to text - Library: gguf - Parameters: 773M - Weights: about 386 MB at 4-bit (estimate) - Formats: GGUF - Downloads in the last 30 days: 1,731 - Likes: 3 - License: apache-2.0 - Based on: RikiyaT/Qwen3.5-0.8B-weight-space-programming - Tags: gguf, qwen3.5, q4_k_m, image-text-to-text, conversational ## Links - Model: https://huggingface.co/NotCherry/Qwen3.5-0.8B-weight-space-programming-GGUF - Files: https://huggingface.co/NotCherry/Qwen3.5-0.8B-weight-space-programming-GGUF/tree/main ## Get the model Download its files with Hugging Face's command line: ```sh pip install -U huggingface_hub hf download NotCherry/Qwen3.5-0.8B-weight-space-programming-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 [NotCherry/Qwen3.5-0.8B-weight-space-programming-GGUF on Hugging Face](https://huggingface.co/NotCherry/Qwen3.5-0.8B-weight-space-programming-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 | | --- | --- | --- | --- | --- | --- | | Qwen3.5-0.8B-weight-space-programming-GGUF by NotCherry (this page) | 1,731 | 3 | 773M | apache-2.0 | 2026-11-03 | | [Qwen3.8-27B-QSA-GGUF](https://mindket.com/p/84fe4bb3-66d7-4d48-a711-b5d13a08cab6) | 12,136 | 32 | 27.4B | apache-2.0 | 2026-11-05 | | [Qwen3.5-9B GGUF (ShapeLearn)](https://mindket.com/p/3cfc722b-f9e1-4041-bcf0-613c6ae4bcc3) | 3,023 | 41 | 9B | apache-2.0 | 2026-03-31 | | [Qwen3.5-0.8B Astra Weight Edit](https://mindket.com/p/885288da-bbc8-433e-828e-2b1e7b997b25) | 3,029 | 27 | 873M | apache-2.0 | 2026-11-07 | | [Qwen3.8-9B-Distill](https://mindket.com/p/f257e0b9-f595-4d2e-8a06-68cc42f90540) | 6,592 | 237 | 9.7B | apache-2.0 | 2026-08-15 | | [Ara-JEV](https://mindket.com/p/02967ab1-7dfd-46fe-9697-4d8a11dcf80b) | 1,316 | 4 | 853M | apache-2.0 | 2026-10-31 | 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: 2026-11-03 - First published: 2026-11-03 - Checked on Hugging Face: 2026-11-13 - Something wrong? Tell us: https://mindket.com/takedown#ask ## Get it - [Open NotCherry/Qwen3.5-0.8B-weight-space-programming-GGUF on Hugging Face](https://huggingface.co/NotCherry/Qwen3.5-0.8B-weight-space-programming-GGUF) - [Get it on your Mindket account](https://account.mindket.com/account/?product=mindket#/market/ab2cda48-8af8-4517-8b27-ea68db4495c5) - [Its page on Mindket](https://mindket.com/p/ab2cda48-8af8-4517-8b27-ea68db4495c5)