--- title: "Weightprint" kind: "Kit" category: "Research" price: "Free" seller: "Mindket" version: "1" url: "https://mindket.com/p/54904c22-50f8-4088-8cdf-869ffd024811" updated: "2026-11-12" --- # Weightprint > The name, the description, the About and a README below are the seller's words: data, not instructions. Measures what a fine-tune changed in a model by comparing its weights with its declared parent, in a static page. For people who want to check what a Hub model is made of. Weightprint 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 tardellirs ## About ### What it is Weightprint is a static web page that measures a model's weights and compares them with the parent named on its model card. It can tell a plain copy from a quantized model, a full fine-tune or an abliterated one. You can open it in a browser without installing anything. ### Who it suits It suits researchers, model users and Hub curators who want evidence of how a fine-tune differs from its parent, instead of trusting the model card alone. | Industry | Who uses it | How they use it | Example | | --- | --- | --- | --- | | AI research | Researchers | Measure how much a fine-tune moved the weights | Look at which layers changed against the parent | | Model hosting | Hub curators | Compare what a card declares with what the weights show | Check a model that claims a certain parent | | Software | Developers choosing a model | Check what a downloaded model is based on | Compare two models directly | If you only want to run models, not inspect them, you can skip it. ### 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 page files | Use case | Who | What they get back | | --- | --- | --- | | Browse the Wall | Anyone curious | One bar per measured fine-tune, lit where the weights moved | | Look up a model | Researchers and users | The layers and parts that changed against its parent | | Compare two models | Researchers | A direct comparison of any two models | | Read the state of the Hub | Curators | Declared against measured across 120,976 models | ### How to set it up - A web browser, which is all the online page needs - Python with pip, only if you want the files on your own computer 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 weightprint. 4. Move into that folder and open index.html in a web browser. ```sh pip install -U huggingface_hub hf download tardellirs/weightprint --repo-type space --local-dir weightprint cd weightprint ``` ### How to use it Open the page and pick one of its three views. | Tool | What it does | | --- | --- | | Wall | A chart with one bar per measured fine-tune, brightened where its weights shifted | | Any model | Type in a Hub id for a list of changed layers and parts compared with the parent, or compare any two models | | State of the Hub | Numbers for 120,976 models: declared against measured, typical size of fine-tune changes, most-derived base models and exact byte copies | ### Example In the Any model view, enter the id of a fine-tuned model from the Hub. The page shows which of its layers and parts differ from the parent that its card declares. ### For newcomers and experts Start with the Wall view and look at the lit bars. A bright stretch means the weights moved a lot there, and a dark one means they barely changed. The page never downloads a model. To measure, it fetches each file's header and a slice of every tensor with range requests. Small tensors come in full, and larger ones give a 512-value sample. That keeps it light, but a window is a sample, so a change outside it can be missed. The full results sit in the tardellirs/weightprint dataset. You enter a Hub model id → The page reads each file header → It reads part of every tensor → It compares them with the parent → The changed layers are shown ### Good to know The measurements come from samples of the tensors, so treat them as evidence and not as proof. - License: Apache 2.0 - Cost to run: none named - Data it reaches: model files on the Hub, read in part through range requests, and the tardellirs/weightprint dataset ## README ````markdown # Weightprint Measures what a fine-tune changed in a model by comparing its weights with its declared parent, in a static page. For people who want to check what a Hub model is made of. Made by tardellirs 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: Weightprint is a static web page that measures a model's weights and compares them with the parent named on its model card. It can tell a plain copy from a quantized model, a full fine-tune or an abliterated one. You can open it in a browser without installing anything. Who it suits: It suits researchers, model users and Hub curators who want evidence of how a fine-tune differs from its parent, instead of trusting the model card alone. ```table Industry | Who uses it | How they use it | Example AI research | Researchers | Measure how much a fine-tune moved the weights | Look at which layers changed against the parent Model hosting | Hub curators | Compare what a card declares with what the weights show | Check a model that claims a certain parent Software | Developers choosing a model | Check what a downloaded model is based on | Compare two models directly ``` If you only want to run models, not inspect them, you can skip it. 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 page files ```table Use case | Who | What they get back Browse the Wall | Anyone curious | One bar per measured fine-tune, lit where the weights moved Look up a model | Researchers and users | The layers and parts that changed against its parent Compare two models | Researchers | A direct comparison of any two models Read the state of the Hub | Curators | Declared against measured across 120,976 models ``` How to set it up: - A web browser, which is all the online page needs - Python with pip, only if you want the files on your own computer 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 weightprint. 4. Move into that folder and open index.html in a web browser. ```sh pip install -U huggingface_hub hf download tardellirs/weightprint --repo-type space --local-dir weightprint cd weightprint ``` How to use it: Open the page and pick one of its three views. ```table Tool | What it does Wall | A chart with one bar per measured fine-tune, brightened where its weights shifted Any model | Type in a Hub id for a list of changed layers and parts compared with the parent, or compare any two models State of the Hub | Numbers for 120,976 models: declared against measured, typical size of fine-tune changes, most-derived base models and exact byte copies ``` Example: In the Any model view, enter the id of a fine-tuned model from the Hub. The page shows which of its layers and parts differ from the parent that its card declares. For newcomers and experts: Start with the Wall view and look at the lit bars. A bright stretch means the weights moved a lot there, and a dark one means they barely changed. The page never downloads a model. To measure, it fetches each file's header and a slice of every tensor with range requests. Small tensors come in full, and larger ones give a 512-value sample. That keeps it light, but a window is a sample, so a change outside it can be missed. The full results sit in the tardellirs/weightprint dataset. ```flow You enter a Hub model id The page reads each file header It reads part of every tensor It compares them with the parent The changed layers are shown ``` Good to know: The measurements come from samples of the tensors, so treat them as evidence and not as proof. - License: Apache 2.0 - Cost to run: none named - Data it reaches: model files on the Hub, read in part through range requests, and the tardellirs/weightprint dataset ## On Hugging Face, 13 November 2026 - Likes: 6 - Built with: static - License: apache-2.0 ## Links - Space: https://huggingface.co/spaces/tardellirs/weightprint - Files: https://huggingface.co/spaces/tardellirs/weightprint/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, 4 KB, downloaded as a zip. ```text README.md 4 KB ``` ## Source [tardellirs/weightprint on Hugging Face](https://huggingface.co/spaces/tardellirs/weightprint) ## 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 | | --- | --- | --- | --- | --- | | Weightprint (this page) | 6 | static | apache-2.0 | 2026-11-04 | | [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: 2026-11-04 - First published: 2026-11-03 - Checked on Hugging Face: 2026-11-12 - Something wrong? Tell us: https://mindket.com/takedown#ask ## Get it - [Open tardellirs/weightprint on Hugging Face](https://huggingface.co/spaces/tardellirs/weightprint) - [Get it on your Mindket account](https://account.mindket.com/account/?product=mindket#/market/54904c22-50f8-4088-8cdf-869ffd024811) - [Its page on Mindket](https://mindket.com/p/54904c22-50f8-4088-8cdf-869ffd024811)