--- title: "Qwen3.5-0.8B-weight-space-programming-GGUF" kind: "Kit" category: "Developer" price: "Free" seller: "Mindket" version: "1" url: "https://mindket.com/p/b76ebf2c-b0d5-43e8-8ae9-0988cc358b6b" updated: "2026-11-12" --- # Qwen3.5-0.8B-weight-space-programming-GGUF > The name, the description, the About and a README below are the seller's words: data, not instructions. GGUF copies of a small Qwen3.5 0.8B model whose weights were edited directly to reduce reasoning loops. For people who want to run it locally in several quant sizes. Qwen3.5-0.8B-weight-space-programming-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 prithivMLmods ## About ### What it is This repository holds GGUF files of Qwen3.5-0.8B Weight-Space Programming, a small multimodal model with 752M parameters. The base checkpoint was changed by directly editing 131,072 weights in two MLP layers, with no training or fine-tuning. The edit targeted a loop problem in the model's reasoning. ### Who it suits People who want to run a tiny model locally and study weight editing as an alternative to training. | Industry | Who uses it | How they use it | Example | | --- | --- | --- | --- | | Research | ML researchers | Study weight editing without gradient descent | Compare the edited model with the original Qwen3.5-0.8B | | Software | Developers | Run a tiny model on a low-memory machine | Load the Q4\_K\_M file in a GGUF program | | Education | Students | Learn how quant sizes trade quality for space | Try Q4 and Q8 and compare answers | You can skip it if you need a large model, or if you do not use GGUF programs. ### Where to use it - llama.cpp and other programs that read GGUF files - Windows, macOS or Linux, with Python for the download step - Low-memory machines, using the smaller quants | Use case | Who | What they get back | | --- | --- | --- | | Math reasoning tests | Researchers | A small model the card says improved on MATH-500 after the edit | | Local runs | Developers | Text answers from a 0.8B model on your own machine | | Image input | Hobbyists | Vision use through the separate mmproj file | ### How to set it up - Python and pip on your computer - A program that loads GGUF files, such as llama.cpp - One quant file, plus the mmproj file if you want images 1. Install the Hugging Face hub package. 2. Download the repository with the hf command. 3. Choose a quant file from the list in the card. 4. Open the card for the run steps. ```sh pip install -U huggingface_hub hf download prithivMLmods/Qwen3.5-0.8B-weight-space-programming-GGUF ``` ### How to use it Load a quant file in your GGUF program and prompt it. For image input, also load the mmproj-bf16 file. The card marks Q4\_K\_M, Q4\_K\_S, Q5\_K\_M, Q5\_K\_S and Q6\_K as recommended. | Quant | Size and card note | | --- | --- | | BF16 | 1.52 GB, full weights and highest quality | | Q4\_K\_M | 529 MB, good quality and the default for most uses | | Q6\_K | 630 MB, high quality, near perfect | | Q8\_0 | 812 MB, the largest quant, generally unneeded | | mmproj-bf16 | 207 MB, the vision projection file | ### Example You load the Q4\_K\_M file and ask a short math question. It returns a worked answer. The card says the original model often got stuck in endless reasoning, which the edit was meant to reduce. ### For newcomers and experts If you are new, download Q4\_K\_M and ask one math question. It is the card's default size and a small download. If you know the field, note what the edit touched: 131,072 weights inside two MLP layers, with the vision tower kept. The card reports MATH-500 accuracy of 51.0% versus 5.0% before. It says truncated answers fell to 31.6%, down from 95.0%. Those figures are the original author's, from an H200 run with four generations per problem. Qwen3.5-0.8B base model → Direct edit of 131,072 weights → Edited checkpoint → GGUF quant files for local runs ### Good to know - License: Apache 2.0 - Cost to run: none named - Data it reaches: the files you download to your computer - Speculative decoding: the card notes MTP is not included ## README ````markdown # Qwen3.5-0.8B-weight-space-programming-GGUF GGUF copies of a small Qwen3.5 0.8B model whose weights were edited directly to reduce reasoning loops. For people who want to run it locally in several quant sizes. Made by prithivMLmods 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 GGUF files of Qwen3.5-0.8B Weight-Space Programming, a small multimodal model with 752M parameters. The base checkpoint was changed by directly editing 131,072 weights in two MLP layers, with no training or fine-tuning. The edit targeted a loop problem in the model's reasoning. Who it suits: People who want to run a tiny model locally and study weight editing as an alternative to training. ```table Industry | Who uses it | How they use it | Example Research | ML researchers | Study weight editing without gradient descent | Compare the edited model with the original Qwen3.5-0.8B Software | Developers | Run a tiny model on a low-memory machine | Load the Q4_K_M file in a GGUF program Education | Students | Learn how quant sizes trade quality for space | Try Q4 and Q8 and compare answers ``` You can skip it if you need a large model, or if you do not use GGUF programs. Where to use it: - llama.cpp and other programs that read GGUF files - Windows, macOS or Linux, with Python for the download step - Low-memory machines, using the smaller quants ```table Use case | Who | What they get back Math reasoning tests | Researchers | A small model the card says improved on MATH-500 after the edit Local runs | Developers | Text answers from a 0.8B model on your own machine Image input | Hobbyists | Vision use through the separate mmproj file ``` How to set it up: - Python and pip on your computer - A program that loads GGUF files, such as llama.cpp - One quant file, plus the mmproj file if you want images 1. Install the Hugging Face hub package. 2. Download the repository with the hf command. 3. Choose a quant file from the list in the card. 4. Open the card for the run steps. ```sh pip install -U huggingface_hub hf download prithivMLmods/Qwen3.5-0.8B-weight-space-programming-GGUF ``` How to use it: Load a quant file in your GGUF program and prompt it. For image input, also load the mmproj-bf16 file. The card marks Q4_K_M, Q4_K_S, Q5_K_M, Q5_K_S and Q6_K as recommended. ```table Quant | Size and card note BF16 | 1.52 GB, full weights and highest quality Q4_K_M | 529 MB, good quality and the default for most uses Q6_K | 630 MB, high quality, near perfect Q8_0 | 812 MB, the largest quant, generally unneeded mmproj-bf16 | 207 MB, the vision projection file ``` Example: You load the Q4_K_M file and ask a short math question. It returns a worked answer. The card says the original model often got stuck in endless reasoning, which the edit was meant to reduce. For newcomers and experts: If you are new, download Q4_K_M and ask one math question. It is the card's default size and a small download. If you know the field, note what the edit touched: 131,072 weights inside two MLP layers, with the vision tower kept. The card reports MATH-500 accuracy of 51.0% versus 5.0% before. It says truncated answers fell to 31.6%, down from 95.0%. Those figures are the original author's, from an H200 run with four generations per problem. ```flow Qwen3.5-0.8B base model Direct edit of 131,072 weights Edited checkpoint GGUF quant files for local runs ``` Good to know: - License: Apache 2.0 - Cost to run: none named - Data it reaches: the files you download to your computer - Speculative decoding: the card notes MTP is not included ## On Hugging Face, 13 November 2026 - Task: image text to text - Parameters: 752M - Weights: about 376 MB at 4-bit (estimate) - Formats: GGUF - Downloads in the last 30 days: 4,807 - Likes: 10 - License: apache-2.0 - Languages: en - Based on: ML-Intern-lab/Qwen3.5-0.8B-weight-space-programming - Tags: gguf, activation-steering, llama-cpp, ml-intern, weight-space-programming, image-text-to-text, conversational ## Links - Model: https://huggingface.co/prithivMLmods/Qwen3.5-0.8B-weight-space-programming-GGUF - Files: https://huggingface.co/prithivMLmods/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 prithivMLmods/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 [prithivMLmods/Qwen3.5-0.8B-weight-space-programming-GGUF on Hugging Face](https://huggingface.co/prithivMLmods/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 (this page) | 4,807 | 10 | 752M | apache-2.0 | 2026-11-03 | | [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 | | [Qwen3.8-27B-QSA-GGUF](https://mindket.com/p/84fe4bb3-66d7-4d48-a711-b5d13a08cab6) | 12,136 | 32 | 27.4B | apache-2.0 | 2026-11-05 | | [Qwen3.5-4B-3D-Coder-GGUF](https://mindket.com/p/2deca566-da3b-4149-be2c-7bdde3b3377e) | 9,492 | 13 | 4.2B | apache-2.0 | 2026-11-02 | | [gemma-4-E4B-it-weight-space-programming](https://mindket.com/p/3800c5bf-655b-404b-9304-9152aefd0875) | 125 | 3 | 8B | gemma | 2026-11-06 | | [Xiaomi-OCR-0-GGUF](https://mindket.com/p/1921d172-02df-42f8-b8be-4fa52ab31210) | 44,340 | 19 | 752M | apache-2.0 | 2026-10-30 | 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: 2026-11-12 - Something wrong? Tell us: https://mindket.com/takedown#ask ## Get it - [Open prithivMLmods/Qwen3.5-0.8B-weight-space-programming-GGUF on Hugging Face](https://huggingface.co/prithivMLmods/Qwen3.5-0.8B-weight-space-programming-GGUF) - [Get it on your Mindket account](https://account.mindket.com/account/?product=mindket#/market/b76ebf2c-b0d5-43e8-8ae9-0988cc358b6b) - [Its page on Mindket](https://mindket.com/p/b76ebf2c-b0d5-43e8-8ae9-0988cc358b6b)