--- title: "cua-s1-forms" kind: "Kit" category: "Developer" price: "Free" seller: "Mindket" version: "1" url: "https://mindket.com/p/665561a4-8111-49e8-9062-bde78912525c" updated: "2026-11-13" --- # cua-s1-forms > The name, the description, the About and a README below are the seller's words: data, not instructions. Scores the possible actions for each element of a GUI form, such as fill, check, click or skip, and returns a probability for each. A tiny model for developers building form-filling agents. cua-s1-forms is a kit in the Developer category, listed by Mindket. It is free. This is version 1, last updated on 2026-11-13. Download it on this page, a zip of its files. Nothing in it runs by itself. Made by cua-ai ## About ### What it is cua-s1-forms is a tiny model, with 706,048 parameters, for filling in forms on a screen. It does not generate text. You hand it a form element along with the choices on offer, and it replies with a likelihood for each choice at the same time. It belongs to the Cua-S1 research family from cua-ai. ### Who it suits Developers building agents that fill forms from documents, and researchers who study small models that choose UI actions. | Industry | Who uses it | How they use it | Example | | --- | --- | --- | --- | | Software development | Developers building computer-use agents | Score every field on a form to choose an action for it | Deciding whether a phone field should be filled, skipped or clicked | | Research | Researchers on small action models | Study how a tiny model ranks options for form fields | Testing a 706,048 parameter model on form checks | | Back-office automation | Teams that move data from documents into forms | Pair the model with code that fills fields and submits | Filling a registration form from a scanned document | Skip it if you want a model that writes or chats, since it only scores options. ### Where to use it It runs in Python through the cua-s1 package, and the files download on Windows, macOS or Linux. - Python: where the checkpoint is loaded - The cua-s1 package: provides the loader and the device helper - A Cua Driver session: where the planner loop sends its actions | Use case | Who | What they get back | | --- | --- | --- | | Form field scoring | Agent developers | One probability for each option on a field | | Action choice | Automation builders | The highest scored option to execute | | Small model research | Researchers | A compact checkpoint to inspect and test | ### How to set it up You need Python, the cua-s1 package and the two safetensors files. Load only that safetensors pair. The older pickle checkpoint was removed, and the card warns that unpickling a checkpoint can run arbitrary code. - Python with pip - The cua-s1 package, installed from a checkout of the Cua project - The two files, a safetensors file and a json file 1. Install huggingface\_hub. 2. Get the Cua project code and install cua-s1 from it. 3. Download only the two files, leaving out any pickle copy. 4. Load the checkpoint with the cua-s1 loader. ```sh pip install -U huggingface_hub hf download cua-ai/cua-s1-forms ``` The card installs the package like this, from a checkout: ```sh uv sync --project libs/cua-s1/python ``` ### How to use it Download the two files and load them with the loader. The loader checks the format, version and signature before it returns the model. ```python from pathlib import Path from huggingface_hub import snapshot_download from cua_s1.model import load_checkpoint, select_device root = Path(snapshot_download( "cua-ai/cua-s1-forms", allow_patterns=["cua-s1-forms.safetensors", "cua-s1-forms.json"], )) model, collator, config = load_checkpoint(root / "cua-s1-forms.safetensors", select_device("auto")) ``` With the command line, leave pickle files out when you pin an older revision: ```bash hf download cua-ai/cua-s1-forms --exclude "*.pt" --local-dir ./cua-s1-forms ``` | Tool | What it does | | --- | --- | | snapshot\_download | Fetches only the two files the model needs | | load\_checkpoint | Loads the model after checking its format and signature | | select\_device | Picks the device to run on | | hf download | Downloads from the command line, with pickle files excluded | ### Example For a phone number field on a registration form, you pass the form context and the options: fill with the phone number from the document, check, click and skip. The model returns one probability for each option, and the executor takes the highest. ### For newcomers and experts If you are new to this, think of it as a ranker. It sees one form field and a short list of choices, and it says how likely each choice is. Start by downloading the two files and loading them with the Python snippet. If you know the field, it is a byte level model with a 2 layer Transformer encoder, width 128 and 4 heads. Each option queries the context through an attention head, and a softmax then spreads probability across the options still in play. The card says it was trained on 10,000 synthetic episodes, and code outside the model decides the order of actions. Form context and options go in → The model scores every option → The executor picks the highest → Cua Driver sets a value or clicks ### Good to know The card says this checkpoint is not a formally mapped release of the cua-s1-form-v0 research profile. The jev-use chooser does not load it. - License: MIT - Cost to run: none named - Data it reaches: the form elements and documents you pass in, and a live Cua Driver session if you use the planner loop - Not for: generating text, or loading pickle copies of the model, which the card says to avoid ## README ````markdown # cua-s1-forms Scores the possible actions for each element of a GUI form, such as fill, check, click or skip, and returns a probability for each. A tiny model for developers building form-filling agents. Made by cua-ai on Hugging Face. These notes are Mindket's, written from its model page and model card; the model's own files and license are on Hugging Face. ## About What it is: cua-s1-forms is a tiny model, with 706,048 parameters, for filling in forms on a screen. It does not generate text. You hand it a form element along with the choices on offer, and it replies with a likelihood for each choice at the same time. It belongs to the Cua-S1 research family from cua-ai. Who it suits: Developers building agents that fill forms from documents, and researchers who study small models that choose UI actions. ```table Industry | Who uses it | How they use it | Example Software development | Developers building computer-use agents | Score every field on a form to choose an action for it | Deciding whether a phone field should be filled, skipped or clicked Research | Researchers on small action models | Study how a tiny model ranks options for form fields | Testing a 706,048 parameter model on form checks Back-office automation | Teams that move data from documents into forms | Pair the model with code that fills fields and submits | Filling a registration form from a scanned document ``` Skip it if you want a model that writes or chats, since it only scores options. Where to use it: It runs in Python through the cua-s1 package, and the files download on Windows, macOS or Linux. - Python: where the checkpoint is loaded - The cua-s1 package: provides the loader and the device helper - A Cua Driver session: where the planner loop sends its actions ```table Use case | Who | What they get back Form field scoring | Agent developers | One probability for each option on a field Action choice | Automation builders | The highest scored option to execute Small model research | Researchers | A compact checkpoint to inspect and test ``` How to set it up: You need Python, the cua-s1 package and the two safetensors files. Load only that safetensors pair. The older pickle checkpoint was removed, and the card warns that unpickling a checkpoint can run arbitrary code. - Python with pip - The cua-s1 package, installed from a checkout of the Cua project - The two files, a safetensors file and a json file 1. Install huggingface_hub. 2. Get the Cua project code and install cua-s1 from it. 3. Download only the two files, leaving out any pickle copy. 4. Load the checkpoint with the cua-s1 loader. ```sh pip install -U huggingface_hub hf download cua-ai/cua-s1-forms ``` The card installs the package like this, from a checkout: ```sh uv sync --project libs/cua-s1/python ``` How to use it: Download the two files and load them with the loader. The loader checks the format, version and signature before it returns the model. ```python from pathlib import Path from huggingface_hub import snapshot_download from cua_s1.model import load_checkpoint, select_device root = Path(snapshot_download( "cua-ai/cua-s1-forms", allow_patterns=["cua-s1-forms.safetensors", "cua-s1-forms.json"], )) model, collator, config = load_checkpoint(root / "cua-s1-forms.safetensors", select_device("auto")) ``` With the command line, leave pickle files out when you pin an older revision: ```bash hf download cua-ai/cua-s1-forms --exclude "*.pt" --local-dir ./cua-s1-forms ``` ```table Tool | What it does snapshot_download | Fetches only the two files the model needs load_checkpoint | Loads the model after checking its format and signature select_device | Picks the device to run on hf download | Downloads from the command line, with pickle files excluded ``` Example: For a phone number field on a registration form, you pass the form context and the options: fill with the phone number from the document, check, click and skip. The model returns one probability for each option, and the executor takes the highest. For newcomers and experts: If you are new to this, think of it as a ranker. It sees one form field and a short list of choices, and it says how likely each choice is. Start by downloading the two files and loading them with the Python snippet. If you know the field, it is a byte level model with a 2 layer Transformer encoder, width 128 and 4 heads. Each option queries the context through an attention head, and a softmax then spreads probability across the options still in play. The card says it was trained on 10,000 synthetic episodes, and code outside the model decides the order of actions. ```flow Form context and options go in The model scores every option The executor picks the highest Cua Driver sets a value or clicks ``` Good to know: The card says this checkpoint is not a formally mapped release of the cua-s1-form-v0 research profile. The jev-use chooser does not load it. - License: MIT - Cost to run: none named - Data it reaches: the form elements and documents you pass in, and a live Cua Driver session if you use the planner loop - Not for: generating text, or loading pickle copies of the model, which the card says to avoid ## On Hugging Face, 13 November 2026 - Task: other - Library: cua-s1 - Formats: Safetensors - Downloads in the last 30 days: 0 - Likes: 119 - License: mit - Languages: en - Quantized versions: 2 - Tags: cua-s1, computer-use, form-filling, option-attention, system-one, safetensors, other ## Links - Model: https://huggingface.co/cua-ai/cua-s1-forms - Files: https://huggingface.co/cua-ai/cua-s1-forms/tree/main ## Get the model Download its files with Hugging Face's command line: ```sh pip install -U huggingface_hub hf download cua-ai/cua-s1-forms ``` Then follow the usage in its model card. Nothing in this kit runs by itself. ```` ## What is in it 1 files, 6 KB, downloaded as a zip. ```text README.md 6 KB ``` ## Source [cua-ai/cua-s1-forms on Hugging Face](https://huggingface.co/cua-ai/cua-s1-forms) ## Compare with similar Listed Hugging Face models in the same category that share the most tags with this one. | Product | Downloads, last 30 days | Likes | Parameters | License | Last change | | --- | --- | --- | --- | --- | --- | | cua-s1-forms (this page) | 0 | 119 | — | mit | 2026-09-26 | | [LightVAE](https://mindket.com/p/559b5239-ac2e-4efd-a84c-d94ef9e0d314) | 819 | 40 | — | apache-2.0 | 2026-11-10 | | [OpenJev](https://mindket.com/p/173f3b2e-f55d-4777-9609-91685a1f0a12) | 9,293 | 199 | 27.4B | cc-by-nc-4.0 | 2026-10-09 | | [Mage-VL-Cowork](https://mindket.com/p/53460bdf-08aa-4019-bb00-2a650a2d0157) | 4,226 | 222 | 4.7B | apache-2.0 | 2026-10-30 | | [Fara1.5-9B](https://mindket.com/p/93437033-da29-4dfb-8cfb-5400e03005ae) | 3,008 | 64 | 9.4B | mit | 2026-07-27 | | [Holo4-27B](https://mindket.com/p/139fcb8f-6383-4be5-b579-d9cfce8ce9d3) | 2,486 | 105 | 27.4B | cc-by-nc-4.0 | 2026-09-28 | Numbers as Mindket last read them, from 2026-11-12 to 2026-11-13. ## 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: 2026-09-26 - First published: 2026-09-18 - Checked on Hugging Face: 2026-11-13 - Something wrong? Tell us: https://mindket.com/takedown#ask ## Get it - [Open cua-ai/cua-s1-forms on Hugging Face](https://huggingface.co/cua-ai/cua-s1-forms) - [Get it on your Mindket account](https://account.mindket.com/account/?product=mindket#/market/665561a4-8111-49e8-9062-bde78912525c) - [Its page on Mindket](https://mindket.com/p/665561a4-8111-49e8-9062-bde78912525c)