Nanosaur2-670M
well9472 · Kit
Makes illustrations from text prompts with a small 670M-parameter diffusion model, run through ComfyUI. Built as a low-budget research model for people who wan…
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.
pip install -U huggingface_hub hf download tardellirs/weightprint --repo-type space --local-dir weightprint cd weightprint
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.
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.
| 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 |
pip install -U huggingface_hub hf download tardellirs/weightprint --repo-type space --local-dir weightprint cd weightprint
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 |
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.
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.
The measurements come from samples of the tensors, so treat them as evidence and not as proof.
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.
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:
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:
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.
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.
README.md 4 KB
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| Product | Likes | Built with | License | Last change |
|---|---|---|---|---|
| Weightprint This page | 6 | static | apache-2.0 | |
| Arena LeaderboardShares static | 5,039 | static | apache-2.0 | |
| BrowserShares static | 533 | static | cc0-1.0 | |
| Model PulseShares static | 214 | static | apache-2.0 | |
| MTEB-BR LeaderboardShares static | 126 | static | apache-2.0 | |
| Hub StatsShares static | 65 | static | apache-2.0 |
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