--- title: "Qwenputer Front Panel" kind: "Kit" category: "Research" price: "Free" seller: "Mindket" version: "1" url: "https://mindket.com/p/b0fcfde1-b4cd-4065-8d91-8c7a905d1032" updated: "2026-11-12" --- # Qwenputer Front Panel > The name, the description, the About and a README below are the seller's words: data, not instructions. Replays recorded runs of Qwenputer, a Qwen3.5-4B model with a RISC-V CPU built into extra layers, beside a front panel of layers, registers and RAM. It runs in your browser. Qwenputer Front Panel is a kit in the Research 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 jgalego ## About ### What it is Qwenputer Front Panel is a static web page that jgalego published as a Hugging Face Space. It replays recorded conversations of Qwenputer, a Qwen3.5-4B model that has a 32-bit RISC-V CPU folded into 11 additional layers. Whenever the model requests a tool, the CPU executes it during the model's normal computation, and the result comes out as plain text. ### Who it suits People curious about how a language model can run a tool inside its own layers, and developers who want to read how the panel is built. | Industry | Who uses it | How they use it | Example | | --- | --- | --- | --- | | Machine learning | Model researchers | Replay a recorded conversation and watch the CPU work | Following which layers a token passes through | | Computer science | Educators | Show the registers, RAM and program counter during a tool call | Teaching how a small processor executes a program | | Web development | Front-end developers | Download the files and read app.js and index.html | Seeing how a data-driven replay page is built | Skip it if you want to chat with the model yourself, since this page replays recorded runs. ### Where to use it The panel opens in these places. - A web browser: the Space runs there with nothing to install - Windows, macOS or Linux: download the files with Python, then open index.html in a browser | Use case | Who | What they get back | | --- | --- | --- | | Watch a tool call | Anyone curious | A recorded conversation beside the CPU's layers, registers, RAM and tool-call tokens | | Check the arithmetic tool | Researchers | The calc tool's work on numbers of up to 62 digits | | Play with Life | Anyone curious | Conway's Game of Life on a 32 by 32 grid in the CPU's RAM | ### How to set it up Online use needs only a browser. A local copy needs a few more things first. - A web browser - Python on Windows, macOS or Linux, for a local copy 1. Open the Space's page on Hugging Face if you only want to use it online. 2. For a local copy, install the Hugging Face hub library with pip. 3. Download the Space's files into a folder called qwenputer-panel. 4. Move into that folder. 5. Open index.html in a web browser. ```sh pip install -U huggingface_hub hf download jgalego/qwenputer-panel --repo-type space --local-dir qwenputer-panel cd qwenputer-panel ``` ### How to use it Online, open the Space's page and pick a recorded conversation. The front panel shows the machine's state as each token is read. With a local copy, go into the qwenputer-panel folder and open index.html in your browser. ```sh cd qwenputer-panel ``` | Tool | What it does | | --- | --- | | calc | Precise arithmetic for numbers as long as 62 digits | | letters | Spells a word and counts its letters, reading the bytes the model's tokens hide | | weekday | Calendar arithmetic | | days\_between | Calendar arithmetic between two dates | | life | Runs Conway's Game of Life on a 32 by 32 grid in the CPU's RAM | ### Example You replay a recorded conversation in which Qwen asks for a tool. The panel shows the CPU reading the tool-call tokens, running the small program and writing the answer back as ordinary text. ### For newcomers and experts If you are new, open the Space's page and watch one recorded conversation from start to end. The panel shows what happens inside the model while it answers. If you know the field, each recorded run used greedy decoding. A second, reference RISC-V machine ran alongside in step and had to reach the same output for every token the CPU was responsible for. The panel displays that machine's registers and RAM. A replay of the upstream IR then re-checked every position the CPU owned. The tools come from a small C program named toolbox.c. Qwen calls a tool → The CPU in the extra layers runs it → The answer is written as plain text → The panel shows registers, RAM and layers ### Good to know It replays recorded runs, so it does not run the model for you. - Models: divagr1925/Qwen3.5-4B-Qwenputer and its base, Qwen/Qwen3.5-4B - Size: 18 files in the repository - License: apache-2 - Cost to run: none named - Data it reaches: the recorded conversations and data in the repository - Not for: running the model live, since the page replays recorded conversations ## README ````markdown # Qwenputer Front Panel Replays recorded runs of Qwenputer, a Qwen3.5-4B model with a RISC-V CPU built into extra layers, beside a front panel of layers, registers and RAM. It runs in your browser. Made by jgalego 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: Qwenputer Front Panel is a static web page that jgalego published as a Hugging Face Space. It replays recorded conversations of Qwenputer, a Qwen3.5-4B model that has a 32-bit RISC-V CPU folded into 11 additional layers. Whenever the model requests a tool, the CPU executes it during the model's normal computation, and the result comes out as plain text. Who it suits: People curious about how a language model can run a tool inside its own layers, and developers who want to read how the panel is built. ```table Industry | Who uses it | How they use it | Example Machine learning | Model researchers | Replay a recorded conversation and watch the CPU work | Following which layers a token passes through Computer science | Educators | Show the registers, RAM and program counter during a tool call | Teaching how a small processor executes a program Web development | Front-end developers | Download the files and read app.js and index.html | Seeing how a data-driven replay page is built ``` Skip it if you want to chat with the model yourself, since this page replays recorded runs. Where to use it: The panel opens in these places. - A web browser: the Space runs there with nothing to install - Windows, macOS or Linux: download the files with Python, then open index.html in a browser ```table Use case | Who | What they get back Watch a tool call | Anyone curious | A recorded conversation beside the CPU's layers, registers, RAM and tool-call tokens Check the arithmetic tool | Researchers | The calc tool's work on numbers of up to 62 digits Play with Life | Anyone curious | Conway's Game of Life on a 32 by 32 grid in the CPU's RAM ``` How to set it up: Online use needs only a browser. A local copy needs a few more things first. - A web browser - Python on Windows, macOS or Linux, for a local copy 1. Open the Space's page on Hugging Face if you only want to use it online. 2. For a local copy, install the Hugging Face hub library with pip. 3. Download the Space's files into a folder called qwenputer-panel. 4. Move into that folder. 5. Open index.html in a web browser. ```sh pip install -U huggingface_hub hf download jgalego/qwenputer-panel --repo-type space --local-dir qwenputer-panel cd qwenputer-panel ``` How to use it: Online, open the Space's page and pick a recorded conversation. The front panel shows the machine's state as each token is read. With a local copy, go into the qwenputer-panel folder and open index.html in your browser. ```sh cd qwenputer-panel ``` ```table Tool | What it does calc | Precise arithmetic for numbers as long as 62 digits letters | Spells a word and counts its letters, reading the bytes the model's tokens hide weekday | Calendar arithmetic days_between | Calendar arithmetic between two dates life | Runs Conway's Game of Life on a 32 by 32 grid in the CPU's RAM ``` Example: You replay a recorded conversation in which Qwen asks for a tool. The panel shows the CPU reading the tool-call tokens, running the small program and writing the answer back as ordinary text. For newcomers and experts: If you are new, open the Space's page and watch one recorded conversation from start to end. The panel shows what happens inside the model while it answers. If you know the field, each recorded run used greedy decoding. A second, reference RISC-V machine ran alongside in step and had to reach the same output for every token the CPU was responsible for. The panel displays that machine's registers and RAM. A replay of the upstream IR then re-checked every position the CPU owned. The tools come from a small C program named toolbox.c. ```flow Qwen calls a tool The CPU in the extra layers runs it The answer is written as plain text The panel shows registers, RAM and layers ``` Good to know: It replays recorded runs, so it does not run the model for you. - Models: divagr1925/Qwen3.5-4B-Qwenputer and its base, Qwen/Qwen3.5-4B - Size: 18 files in the repository - License: apache-2 - Cost to run: none named - Data it reaches: the recorded conversations and data in the repository - Not for: running the model live, since the page replays recorded conversations ## On Hugging Face, 13 November 2026 - Likes: 1 - Built with: static - License: apache-2.0 ## Links - Space: https://huggingface.co/spaces/jgalego/qwenputer-panel - Files: https://huggingface.co/spaces/jgalego/qwenputer-panel/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 [jgalego/qwenputer-panel on Hugging Face](https://huggingface.co/spaces/jgalego/qwenputer-panel) ## 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 | | --- | --- | --- | --- | --- | | Qwenputer Front Panel (this page) | 1 | static | apache-2.0 | 2026-11-02 | | [Arena Leaderboard](https://mindket.com/p/613ca8f0-8146-4a48-87d6-43b8ee2ce3b6) | 5,039 | static | apache-2.0 | 2026-02-21 | | [Browser](https://mindket.com/p/d4e4cb47-8f53-4094-9a76-4fd29147a65b) | 533 | static | cc0-1.0 | 2026-10-18 | | [Model Pulse](https://mindket.com/p/017106fd-a3d1-4c20-944b-38f048d8b624) | 214 | static | apache-2.0 | 2026-11-04 | | [MTEB-BR Leaderboard](https://mindket.com/p/05f89589-d44c-4616-8efb-c50c9ba6ad94) | 126 | static | apache-2.0 | 2026-07-29 | | [Hub Stats](https://mindket.com/p/03d71953-8093-47a0-a444-c4f562d3071d) | 65 | static | apache-2.0 | 2026-11-12 | 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: 2026-11-02 - First published: 2026-11-02 - Checked on Hugging Face: 2026-11-12 - Something wrong? Tell us: https://mindket.com/takedown#ask ## Get it - [Open jgalego/qwenputer-panel on Hugging Face](https://huggingface.co/spaces/jgalego/qwenputer-panel) - [Get it on your Mindket account](https://account.mindket.com/account/?product=mindket#/market/b0fcfde1-b4cd-4065-8d91-8c7a905d1032) - [Its page on Mindket](https://mindket.com/p/b0fcfde1-b4cd-4065-8d91-8c7a905d1032)