alt.freeweights.glm / UI2Code_N

From:

zai-org <huggingface.co/zai-org>Newsgroups: alt.freeweights.glmSubject:

UI2Code_N

Date: 2026-11-15Commit: ef839d8Signed: 2DC28CC7B26A283B ✓

Image text to text model with 10.3B parameters. Safetensors weights, 20.6 GB in all. Published by zai-org under MIT.

10.3B params

20.6GBUI2Code_Nsafetensorspermissive

FactsParams10.3BSize20.6 GBFormatssafetensorsTaskimage text to textLicenseMITFrom sourcepermissive

$ fw get zai-org/UI2Code_N
# manifest sha256 8d9bda65bd3e… · 20.6 GB · 14 files
$ fw verify ./UI2Code_N zai-org/UI2Code_N

From sourceHosted (signed)zai-org/UI2Code_NLast check: 2026-11-15 03:49 UTC

Run at home Get help

Get help: custom fine-tune or private deploy. We review your setup before we quote.

Fine-tune of GLM-4.1V-9B-Base.

Works with

Run23 Fine-tune29 Convert15 Evaluate13 Scan13 Apps62

Runs with

Ranked by fit to this model (safetensors), then by GitHub stars.

vLLM exo Text Generation WebUI

SGLang MLC LLM KTransformers LMCache Xinference LMDeploy mistral.rs Mooncake FlashInfer

Show all 23

AIBrix fastllm ExLlamaV3

Transformers LocalAI tinygrad Triton Inference Server BentoML CTranslate2 ExLlamaV2 LitServe

Convert with

mergekit TensorRT Model Optimizer

LLM Compressor Neural Compressor AutoRound AQLM GPTQModel ONNX Core ML Tools ExecuTorch

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Evaluate with

Opik DeepEval Ragas lm-evaluation-harness OpenCompass SWE-bench

simple-evals TruLens HELM

LightEval

Evaluate Weave

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Autoevals

Scan with

promptfoo garak Guardrails NeMo Guardrails Giskard DeepTeam AI Fairness 360 Fairlearn Detoxify MCP Scanner AgentDojo ModelScan

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picklescan

Overview Model card Files Use it License Provenance Model tree

Overview

Size: 20.6 GB
Weights: 20.6 GB (safetensors)
Parameters: 10.3B
Formats: safetensors
Task: image text to text
License: MIT (permissive)
Files: 14, each with a sha256
Publisher: zai-org
Added: 2026-11-15
Section: alt.freeweights.glm

Lineage

Original release from the publisher.

Base model: zai-org/GLM-4.1V-9B-Base

Where these bytes come from

Publisher at the pinned commit→You

Sources are tried in order. A file counts only when its size and sha256 match the manifest. Sources are checked when you ask for them, not on a timer.

Sources

Badge	Host	Last check	Result
From source	huggingface.co	2026-11-15 03:49 UTC	passed

Model card

From the publisher at commit ef839d8. Shown as plain text with links; images open at the publisher.

UI2Code^N: A Visual Language Model for Test-Time Scalable Interactive UI-to-Code Generation#

Repository: https://github.com/zai-org/UI2Code_N
Paper: https://arxiv.org/abs/2511.08195

Image: abs

UI2Code^N is a visual language foundation model trained through staged pretraining, fine-tuning, and reinforcement learning to achieve foundational improvements in multimodal coding, which unifies three key capabilities: UI-to-code generation, UI editing, and UI polishing. Instead of relying on single-turn paradigms that make little use of iterative visual feedback, UI2Code^N introduces an interactive UI-to-code framework that more accurately reflects real-world workflows and raises the upper bound of achievable performance.

Backbone Model#

Our model is built on GLM-4.1V-9B-Base.

Quick Inference#

This is a simple example of running single-image inference using the transformers library. First, install the transformers library:

pip install transformers>=4.57.1

Then, run the following code:

from transformers import AutoProcessor, AutoModelForImageTextToText
import torch

messages = [
    {
        "role": "user",
        "content": [
            {
                "type": "image",
                "url": "https://raw.githubusercontent.com/zheny2751-dotcom/UI2Code-N/main/assets/example.png"
            },
            {
                "type": "text",
                "text": "Please generate the corresponding html code for the given UI screenshot."
            }
        ],
    }
]
processor = AutoProcessor.from_pretrained("zai-org/UI2Code_N")
model = AutoModelForImageTextToText.from_pretrained(
    pretrained_model_name_or_path="zai-org/UI2Code_N",
    torch_dtype=torch.bfloat16,
    device_map="auto",
)
inputs = processor.apply_chat_template(
    messages,
    tokenize=True,
    add_generation_prompt=True,
    return_dict=True,
    return_tensors="pt"
).to(model.device)
generated_ids = model.generate(**inputs, max_new_tokens=16384)
output_text = processor.decode(generated_ids[0][inputs["input_ids"].shape[1]:], skip_special_tokens=False)
print(output_text)

See our Github Repo for more detailed usage.

Citation#

If you find our model useful in your work, please cite it with:

@article{ui2coden2025,
    title   = {UI2Code$^{N}$: A Visual Language Model for Test-Time Scalable Interactive UI-to-Code Generation},
    author  = {Yang, Zhen and Hong, Wenyi and Xu, Mingde and Fan, Xinyue and Wang, Weihan and Gu, Xiaotao and Tang, Jie},
    journal = {arXiv preprint arXiv:2511.08195},
    year    = {2025}
}

Files

14 files · 20.6 GBWeights 20.6 GB (safetensors). Sizes and sha256 from the signed manifest.

Hide all 14 files with their sha256

File	Size	sha256
.gitattributes	1.57 KB	34448b82c17d60fec9b65b1f093c115ddbaadc04beb1b0140b6bfed2e012a930
README.md	3.01 KB	12ec108eff9e5d5f4c4e37c969812881379e7e8855f071cf00afc282a6f57547
chat_template.jinja	922 B	847603d3ed14387a2b45c197f8d07ddee0f9938051549c727cbc894facfea78b
config.json	1.52 KB	193ac1bc9233f649f6c2ab1c694292f184a4c0944f94146d27940ab792981c33
generation_config.json	239 B	e9527bdf03e7d4971f9cacdbcf81a5fe04b10b64fc478bba6bf389cc0e597b72
model-00001-of-00004.safetensors	5.30 GB	f404923d81df4d7ca2b81532750ae9e68494decc00def261633226a2c70ae0aa
model-00002-of-00004.safetensors	5.30 GB	f02e3e8f99816c2ab17d38d3509ac34e2e5ca7d818ca67924234edf546b8039a
model-00003-of-00004.safetensors	5.30 GB	4dddaed1b7cb9dedb773a8548a29ca12e93946bc29381b77a8d41c66ea2b97d8
model-00004-of-00004.safetensors	4.68 GB	b49ba005afb1aaee3e6206892f6b857c6454b230240c2c3b9b70ae3942edf8f0
model.safetensors.index.json	66.4 KB	d1a77d5ca0b8fa2cb57e097e1d4087bbfcb86e85778ce59e17e5e2610bc6dd86
preprocessor_config.json	364 B	d71bebc1307f2d1e38e87563b50faa78c72fd2e4093b5c69c756f12c444fec6a
tokenizer.json	20.0 MB	76ebeac0d8bd7879ead7b43c16b44981f277e47225de2bd7de9ae1a6cc664a8c
tokenizer_config.json	4.79 KB	468e400c12d54be1b1b0e008fa5ee9382c8c9ef29a5dd0b5093421ef261935ed
video_preprocessor_config.json	365 B	85d5ca37836f20a5edd11800e4380e731612946f8c7b70fba4d8f532fe752932

VersionsEach time the pinned upstream commit or file list changed in this repo. Newest first.

Upstream commit	Date	Contents
ef839d8dbf pinned now	2026-11-15 03:49 UTC	14 files · 20.6 GB

Use it

$ fw get zai-org/UI2Code_N
# manifest sha256 8d9bda65bd3e… · 20.6 GB · 14 files
$ fw verify ./UI2Code_N zai-org/UI2Code_N

fw.pyChecks the signature and every sha256, tries each source in order, resumes.

$ python3 fw.py get https://freeweights.allternit.com/manifests/zai-org/UI2Code_N.json --dir ./UI2Code_N
$ python3 fw.py verify ./UI2Code_N ./zai-org__UI2Code_N.json

hfThe Hugging Face CLI with one setting. Same repo id.

$ HF_ENDPOINT=https://freeweights.allternit.com hf download zai-org/UI2Code_N --revision ef839d8dbf31b8eea009547d03fceb3c9a045cfd --local-dir ./UI2Code_N

transformersLoad the weights in Python.

import os
os.environ["HF_ENDPOINT"] = "https://freeweights.allternit.com"
from transformers import AutoModelForImageTextToText, AutoProcessor
processor = AutoProcessor.from_pretrained("zai-org/UI2Code_N", revision="ef839d8dbf31b8eea009547d03fceb3c9a045cfd")
model = AutoModelForImageTextToText.from_pretrained("zai-org/UI2Code_N", revision="ef839d8dbf31b8eea009547d03fceb3c9a045cfd", device_map="auto")

vLLMServe an OpenAI-compatible API.

$ HF_ENDPOINT=https://freeweights.allternit.com vllm serve zai-org/UI2Code_N --revision ef839d8dbf31b8eea009547d03fceb3c9a045cfd

Run at home

License

Name: MIT License
Id: MIT
Class: Permissive
Redistribution: yes
Listing: Hosted (signed)
Decided: License as declared by the publisher. No person read it. 2026-11-15
Text in: README.md
Text sha256: 12ec108eff9e5d5f4c4e37c969812881379e7e8855f071cf00afc282a6f57547
Terms gate: No extra terms beyond the license.

Read the license text

Licenses are checked against the license table. A custom license passes only after a person reads it.

Provenance

From:

zai-org <huggingface.co/zai-org>Newsgroups: alt.freeweights.glmSubject: UI2Code_NDate: 2026-11-15Commit: ef839d8Signed: 2DC28CC7B26A283B ✓

Upstream: zai-org/UI2Code_N
Pinned commit: ef839d8dbf31b8eea009547d03fceb3c9a045cfd
Manifest: UI2Code_N.json · .minisig
Manifest sha256: 8d9bda65bd3ea87632aa135635baa1d74384a1be26695d757358482418c53958
Signature: minisign, Ed25519, key 2DC28CC7B26A283B
Created: 2026-11-15 03:49 UTC
Generator: freeweights-manifest/0.1.0
Takedowns: None.

How to verify

$ curl -O https://freeweights.allternit.com/manifests/zai-org/UI2Code_N.json
$ curl -O https://freeweights.allternit.com/manifests/zai-org/UI2Code_N.json.minisig
$ minisign -Vm UI2Code_N.json -P RWQ7KGqyx4zCLXtUFOqvfv8L3g+8fpKJ1FsuxPyOYMF+4KufbUxKq1Oq
$ shasum -a 256 <file>   # compare with the Files tab

A manifest whose signature fails must be rejected. A file whose size or sha256 does not match must be discarded. Verify a download

Model tree

Parent

zai-org/GLM-4.1V-9B-Base · this model is a finetune of it

No model in the catalog names this one as its parent.

Get it

Download

$ HF_ENDPOINT=https://freeweights.allternit.com hf download zai-org/UI2Code_N

Open in Freeweights Studio

Pull, verify and run it in the Allternit app on Desktop, web or phone.

Signed manifest

minisign, key 2DC28CC7B26A283B. UI2Code_N.json. Provenance. Takedown history: none.

Source

huggingface.co/zai-org/UI2Code_N

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UI2Code_N

Works with

Runs with

Fine-tune with

Convert with

Evaluate with

Scan with

Works with

Overview

Model card

UI2Code^N: A Visual Language Model for Test-Time Scalable Interactive UI-to-Code Generation#

Backbone Model#

Quick Inference#

Citation#

Files

Use it

License

Provenance

How to verify

Model tree

Related models