--- title: "Qwenx86 Debugger" kind: "Kit" category: "Developer" price: "Free" seller: "Mindket" version: "1" url: "https://mindket.com/p/c5abc6a8-6ba3-4d50-926a-2d1d008108c6" updated: "2026-11-12" --- # Qwenx86 Debugger > The name, the description, the About and a README below are the seller's words: data, not instructions. Replays recorded runs of Qwenx86, a Qwen model with an x86 computer built into its weights, and shows registers, code, RAM and tool output step by step in your browser. Qwenx86 Debugger 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 Quazim0t0 ## About ### What it is Qwenx86 Debugger is a browser page that replays recorded runs of Qwenx86, a Qwen3.5-4B model with a 64-bit x86 computer built into 13 added layers of its weights. You pick a run, press play, and watch the registers, code, RAM and tool output change as the model works. ### Who it suits It suits people who are curious how a language model can run real machine code, and researchers who want to check a recorded run in detail. | Industry | Who uses it | How they use it | Example | | --- | --- | --- | --- | | AI research | Model researchers | Inspect how a model does machine-level work | Check that every machine token in a run matched the reference machine | | Education | Teachers and students | Show how registers and RAM change while a program runs | Watch the C-compiler run print 42 | | Software | Systems developers | Read the disassembled code at the program counter | Follow the Python tool run on the RISC-V path | Anyone who only wants a chat assistant can skip it, since the page replays recordings and does not take new questions. ### Where to use it - A web browser, on the Space's page on Hugging Face - A web browser on Windows, macOS or Linux, from a local copy of the files | Use case | Who | What they get back | | --- | --- | --- | | Replay the C-compiler run | Anyone curious about the model | A C program written by Qwen, compiled and run inside the weights, printing 42 | | Inspect machine state | Researchers | Registers, disassembled code and all 64 KB of RAM at each step | | Review the memory runs | Developers | Files, stored passages, pictures and exact arithmetic shown from real runs | ### How to set it up - A web browser, which is all the online page needs - Python with pip, only for a local copy 1. Open the Space's page on Hugging Face to use it online. Nothing needs installing. 2. For a local copy, install the Hugging Face hub package with pip. 3. Download the Space's files into a folder named Qwenx86-Debugger. 4. Move into that folder and open index.html in a web browser. ```sh pip install -U huggingface_hub hf download Quazim0t0/Qwenx86-Debugger --repo-type space --local-dir Qwenx86-Debugger cd Qwenx86-Debugger ``` ### How to use it Open the page, choose a run and press play. The top banner replays the C-compiler run. Under it, each run lays out the chat, the registers, the code, the RAM, what the tool printed and a timeline. The model file ships with six built-in tools. | Tool | What it does | | --- | --- | | c | Compiles and runs C programs | | notes | Keeps notes in the machine's RAM | | science | Looks up CODATA constants, unit data and elements from read-only data | | python\_doc | Holds 1,003 compressed API signatures | | python | Runs MicroPython | | calc | Does exact fractions | ### Example Pick the notes run and press play. The first question saves a note and the second asks for it back. You see each tool call, the computer's reply with its machine token count, and the RAM bytes that were just written, lit in amber. ### For newcomers and experts Think of the page as a recording you can scrub through. Start with the banner, press play on the C-compiler run, and watch the program print 42. Then open the notes run to see a saved note come back. Qwenx86 puts a 64-bit x86 CPU circuit into Qwen3.5-4B's weights, so tool calls run inside the model. The Space shows the reference machine's states for each run: RAX to R15 and RFLAGS, code at the program counter and a timeline of machine tokens grouped in block verify passes. The chip layers checked up to 256 tokens per pass, and every token matched. The Python run uses the core's RISC-V path, so it shows x1 to x31 instead. Qwen writes a tool call → The computer in the weights runs it → It produces machine tokens → Block verify passes check them → The page replays each machine state ### Good to know Every run is a saved recording from a single 16 GB GPU using the compact checkpoint, so the page never runs the model live. - Memory: the memory section works alongside the model under Python control, and Qwen's replies do not change with the memory full or empty - License: MIT - Cost to run: none named - Data it reaches: the recorded run data bundled in its own data folder ## README ````markdown # Qwenx86 Debugger Replays recorded runs of Qwenx86, a Qwen model with an x86 computer built into its weights, and shows registers, code, RAM and tool output step by step in your browser. Made by Quazim0t0 on Hugging Face. These notes are Mindket's, written from its Space page and README; the app's own files and license are on Hugging Face. ## About What it is: Qwenx86 Debugger is a browser page that replays recorded runs of Qwenx86, a Qwen3.5-4B model with a 64-bit x86 computer built into 13 added layers of its weights. You pick a run, press play, and watch the registers, code, RAM and tool output change as the model works. Who it suits: It suits people who are curious how a language model can run real machine code, and researchers who want to check a recorded run in detail. ```table Industry | Who uses it | How they use it | Example AI research | Model researchers | Inspect how a model does machine-level work | Check that every machine token in a run matched the reference machine Education | Teachers and students | Show how registers and RAM change while a program runs | Watch the C-compiler run print 42 Software | Systems developers | Read the disassembled code at the program counter | Follow the Python tool run on the RISC-V path ``` Anyone who only wants a chat assistant can skip it, since the page replays recordings and does not take new questions. Where to use it: - A web browser, on the Space's page on Hugging Face - A web browser on Windows, macOS or Linux, from a local copy of the files ```table Use case | Who | What they get back Replay the C-compiler run | Anyone curious about the model | A C program written by Qwen, compiled and run inside the weights, printing 42 Inspect machine state | Researchers | Registers, disassembled code and all 64 KB of RAM at each step Review the memory runs | Developers | Files, stored passages, pictures and exact arithmetic shown from real runs ``` How to set it up: - A web browser, which is all the online page needs - Python with pip, only for a local copy 1. Open the Space's page on Hugging Face to use it online. Nothing needs installing. 2. For a local copy, install the Hugging Face hub package with pip. 3. Download the Space's files into a folder named Qwenx86-Debugger. 4. Move into that folder and open index.html in a web browser. ```sh pip install -U huggingface_hub hf download Quazim0t0/Qwenx86-Debugger --repo-type space --local-dir Qwenx86-Debugger cd Qwenx86-Debugger ``` How to use it: Open the page, choose a run and press play. The top banner replays the C-compiler run. Under it, each run lays out the chat, the registers, the code, the RAM, what the tool printed and a timeline. The model file ships with six built-in tools. ```table Tool | What it does c | Compiles and runs C programs notes | Keeps notes in the machine's RAM science | Looks up CODATA constants, unit data and elements from read-only data python_doc | Holds 1,003 compressed API signatures python | Runs MicroPython calc | Does exact fractions ``` Example: Pick the notes run and press play. The first question saves a note and the second asks for it back. You see each tool call, the computer's reply with its machine token count, and the RAM bytes that were just written, lit in amber. For newcomers and experts: Think of the page as a recording you can scrub through. Start with the banner, press play on the C-compiler run, and watch the program print 42. Then open the notes run to see a saved note come back. Qwenx86 puts a 64-bit x86 CPU circuit into Qwen3.5-4B's weights, so tool calls run inside the model. The Space shows the reference machine's states for each run: RAX to R15 and RFLAGS, code at the program counter and a timeline of machine tokens grouped in block verify passes. The chip layers checked up to 256 tokens per pass, and every token matched. The Python run uses the core's RISC-V path, so it shows x1 to x31 instead. ```flow Qwen writes a tool call The computer in the weights runs it It produces machine tokens Block verify passes check them The page replays each machine state ``` Good to know: Every run is a saved recording from a single 16 GB GPU using the compact checkpoint, so the page never runs the model live. - Memory: the memory section works alongside the model under Python control, and Qwen's replies do not change with the memory full or empty - License: MIT - Cost to run: none named - Data it reaches: the recorded run data bundled in its own data folder ## On Hugging Face, 13 November 2026 - Likes: 7 - Built with: static - License: mit ## Links - Space: https://huggingface.co/spaces/Quazim0t0/Qwenx86-Debugger - Files: https://huggingface.co/spaces/Quazim0t0/Qwenx86-Debugger/tree/main ## Try it Open the Space in your browser, or copy it to your own Hugging Face account from its page. 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 [Quazim0t0/Qwenx86-Debugger on Hugging Face](https://huggingface.co/spaces/Quazim0t0/Qwenx86-Debugger) ## Compare with similar Listed Hugging Face Spaces in the same category that share the most tags with this one. | Product | Likes | Built with | License | Last change | | --- | --- | --- | --- | --- | | Qwenx86 Debugger (this page) | 7 | static | mit | 2026-11-06 | | [InferenceSupport](https://mindket.com/p/c095c739-2ded-4c01-93eb-b7067a50441e) | 764 | static | afl-3.0 | 2025-04-16 | | [Huggy](https://mindket.com/p/0e832fcc-5ae8-4b46-84cb-24febb45fb2d) | 463 | static | cc-by-nc-sa-4.0 | 2024-05-24 | | [Z-Image Lookalike LoRA Index](https://mindket.com/p/b982ec25-ae82-40ac-9834-49980598d3bd) | 189 | static | apache-2.0 | 2026-10-30 | | [Granite Docling 258M WebGPU](https://mindket.com/p/d4317b48-bbb7-4a8d-8c83-a8c60857aad1) | 163 | static | apache-2.0 | 2025-10-06 | | [DINOv3 Web](https://mindket.com/p/4cf9a723-8afb-4b07-bad9-d5dcb4203f2e) | 162 | static | apache-2.0 | 2025-08-15 | Numbers as Mindket last read them, on 2026-11-12. ## 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: 2026-11-05 - Checked on Hugging Face: 2026-11-12 - Something wrong? Tell us: https://mindket.com/takedown#ask ## Get it - [Open Quazim0t0/Qwenx86-Debugger on Hugging Face](https://huggingface.co/spaces/Quazim0t0/Qwenx86-Debugger) - [Get it on your Mindket account](https://account.mindket.com/account/?product=mindket#/market/c5abc6a8-6ba3-4d50-926a-2d1d008108c6) - [Its page on Mindket](https://mindket.com/p/c5abc6a8-6ba3-4d50-926a-2d1d008108c6)