Mindket

Weightprint

Newversion 1 · updated

Overview

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 . Download it on this page, a zip of its files. Nothing in it runs by itself.

At a glance

You need
  • A web browser, which is all the online page needs
  • Python with pip, only if you want the files on your own computer
Runs in
  • 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
Start with
pip install -U huggingface_hub
hf download tardellirs/weightprint --repo-type space --local-dir weightprint
cd weightprint

Platform

WindowsOperating system
macOSOperating system
LinuxOperating system

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.

IndustryWho uses itHow they use itExample
AI researchResearchersMeasure how much a fine-tune moved the weightsLook at which layers changed against the parent
Model hostingHub curatorsCompare what a card declares with what the weights showCheck a model that claims a certain parent
SoftwareDevelopers choosing a modelCheck what a downloaded model is based onCompare 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 caseWhoWhat they get back
Browse the WallAnyone curiousOne bar per measured fine-tune, lit where the weights moved
Look up a modelResearchers and usersThe layers and parts that changed against its parent
Compare two modelsResearchersA direct comparison of any two models
Read the state of the HubCuratorsDeclared 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.
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.

ToolWhat it does
WallA chart with one bar per measured fine-tune, brightened where its weights shifted
Any modelType in a Hub id for a list of changed layers and parts compared with the parent, or compare any two models
State of the HubNumbers 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.

  1. You enter a Hub model id
  2. The page reads each file header
  3. It reads part of every tensor
  4. It compares them with the parent
  5. 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 and files

README

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.

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.
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

On Hugging Face, 13 November 2026

  • Likes: 6
  • Built with: static
  • License: apache-2.0

Links

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.

Files
README.md  4 KB

1 file, 4 KB, downloaded as a zip.

What’s new

  • Version 1 · 2026-11-12

Compare with similar

Listed Hugging Face Spaces in the same category that share the most tags with this one.

ProductLikesBuilt withLicenseLast change
Weightprint This page6staticapache-2.0
Arena LeaderboardShares static5,039staticapache-2.0
BrowserShares static533staticcc0-1.0
Model PulseShares static214staticapache-2.0
MTEB-BR LeaderboardShares static126staticapache-2.0
Hub StatsShares static65staticapache-2.0
Numbers as Mindket last read them, on 2026-11-12.

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