alt.freeweights.text / UI-TARS-7B-DPO

From: bytedance-research <huggingface.co/bytedance-research>Newsgroups: alt.freeweights.textSubject:

UI-TARS-7B-DPO

Date: 2026-11-15Commit: 727b0dfSigned: 2DC28CC7B26A283B ✓

Image text to text model with 8.3B parameters. Safetensors weights, 16.6 GB in all. Published by bytedance-research under Apache-2.0.

8.3B params16.6GBUI-TARS-7B-DPOsafetensorspermissive

FactsParams8.3BSize16.6 GBFormatssafetensorsTaskimage text to textLicenseApache-2.0From sourcepermissive

$ fw get bytedance-research/UI-TARS-7B-DPO
# manifest sha256 89854a9c1886… · 16.6 GB · 17 files
$ fw verify ./UI-TARS-7B-DPO bytedance-research/UI-TARS-7B-DPO

From sourceHosted (signed)bytedance-research/UI-TARS-7B-DPOLast check: 2026-11-15 03:26 UTC

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

vLLM exo Text Generation WebUI

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AIBrix fastllm ExLlamaV3

Transformers LocalAI tinygrad Triton Inference Server BentoML CTranslate2 ExLlamaV2 LitServe

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mergekit TensorRT Model Optimizer

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Evaluate with

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

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Overview Model card Files Use it License Provenance Model tree

Overview

Size: 16.6 GB
Weights: 16.6 GB (safetensors)
Parameters: 8.3B
Formats: safetensors
Task: image text to text
License: Apache-2.0 (permissive)
Files: 17, each with a sha256
Publisher: bytedance-research
Added: 2026-11-15
Section: alt.freeweights.text

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Model card

From the publisher at commit 727b0df. Shown as plain text with links; images open at the publisher.

UI-TARS-7B-DPO#

UI-TARS-2B-SFT  |  UI-TARS-7B-SFT  |  UI-TARS-7B-DPO(Recommended)  |  UI-TARS-72B-SFT  |  UI-TARS-72B-DPO(Recommended)

Introduction#

UI-TARS is a next-generation native GUI agent model designed to interact seamlessly with graphical user interfaces (GUIs) using human-like perception, reasoning, and action capabilities. Unlike traditional modular frameworks, UI-TARS integrates all key components—perception, reasoning, grounding, and memory—within a single vision-language model (VLM), enabling end-to-end task automation without predefined workflows or manual rules.

Image: image

This repository contains the model for the paper UI-TARS: Pioneering Automated GUI Interaction with Native Agents.

Code: https://github.com/bytedance/UI-TARS

Performance#

Perception Capabilty Evaluation

Model	VisualWebBench	WebSRC	SQAshort
Qwen2-VL-7B	73.3	81.8	84.9
Qwen-VL-Max	74.1	91.1	78.6
Gemini-1.5-Pro	75.4	88.9	82.2
UIX-Qwen2-7B	75.9	82.9	78.8
Claude-3.5-Sonnet	78.2	90.4	83.1
GPT-4o	78.5	87.7	82.3
UI-TARS-2B	72.9	89.2	86.4
UI-TARS-7B	79.7	93.6	87.7
UI-TARS-72B	82.8	89.3	88.6

Grounding Capability Evaluation

ScreenSpot Pro

Agent Model	Dev-Text	Dev-Icon	Dev-Avg	Creative-Text	Creative-Icon	Creative-Avg	CAD-Text	CAD-Icon	CAD-Avg	Scientific-Text	Scientific-Icon	Scientific-Avg	Office-Text	Office-Icon	Office-Avg	OS-Text	OS-Icon	OS-Avg	Avg-Text	Avg-Icon	Avg
QwenVL-7B	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.7	0.0	0.4	0.0	0.0	0.0	0.0	0.0	0.0	0.1	0.0	0.1
GPT-4o	1.3	0.0	0.7	1.0	0.0	0.6	2.0	0.0	1.5	2.1	0.0	1.2	1.1	0.0	0.9	0.0	0.0	0.0	1.3	0.0	0.8
SeeClick	0.6	0.0	0.3	1.0	0.0	0.6	2.5	0.0	1.9	3.5	0.0	2.0	1.1	0.0	0.9	2.8	0.0	1.5	1.8	0.0	1.1
Qwen2-VL-7B	2.6	0.0	1.3	1.5	0.0	0.9	0.5	0.0	0.4	6.3	0.0	3.5	3.4	1.9	3.0	0.9	0.0	0.5	2.5	0.2	1.6
OS-Atlas-4B	7.1	0.0	3.7	3.0	1.4	2.3	2.0	0.0	1.5	9.0	5.5	7.5	5.1	3.8	4.8	5.6	0.0	3.1	5.0	1.7	3.7
ShowUI-2B	16.9	1.4	9.4	9.1	0.0	5.3	2.5	0.0	1.9	13.2	7.3	10.6	15.3	7.5	13.5	10.3	2.2	6.6	10.8	2.6	7.7
CogAgent-18B	14.9	0.7	8.0	9.6	0.0	5.6	7.1	3.1	6.1	22.2	1.8	13.4	13.0	0.0	10.0	5.6	0.0	3.1	12.0	0.8	7.7
Aria-UI	16.2	0.0	8.4	23.7	2.1	14.7	7.6	1.6	6.1	27.1	6.4	18.1	20.3	1.9	16.1	4.7	0.0	2.6	17.1	2.0	11.3
UGround-7B	26.6	2.1	14.7	27.3	2.8	17.0	14.2	1.6	11.1	31.9	2.7	19.3	31.6	11.3	27.0	17.8	0.0	9.7	25.0	2.8	16.5
Claude Computer Use	22.0	3.9	12.6	25.9	3.4	16.8	14.5	3.7	11.9	33.9	15.8	25.8	30.1	16.3	26.9	11.0	4.5	8.1	23.4	7.1	17.1
OS-Atlas-7B	33.1	1.4	17.7	28.8	2.8	17.9	12.2	4.7	10.3	37.5	7.3	24.4	33.9	5.7	27.4	27.1	4.5	16.8	28.1	4.0	18.9
UGround-V1-7B	-	-	35.5	-	-	27.8	-	-	13.5	-	-	38.8	-	-	48.8	-	-	26.1	-	-	31.1
UI-TARS-2B	47.4	4.1	26.4	42.9	6.3	27.6	17.8	4.7	14.6	56.9	17.3	39.8	50.3	17.0	42.6	21.5	5.6	14.3	39.6	8.4	27.7
UI-TARS-7B	58.4	12.4	36.1	50.0	9.1	32.8	20.8	9.4	18.0	63.9	31.8	50.0	63.3	20.8	53.5	30.8	16.9	24.5	47.8	16.2	35.7
UI-TARS-72B	63.0	17.3	40.8	57.1	15.4	39.6	18.8	12.5	17.2	64.6	20.9	45.7	63.3	26.4	54.8	42.1	15.7	30.1	50.9	17.5	38.1

ScreenSpot

Method	Mobile-Text	Mobile-Icon/Widget	Desktop-Text	Desktop-Icon/Widget	Web-Text	Web-Icon/Widget	Avg
Agent Framework
GPT-4 (SeeClick)	76.6	55.5	68.0	28.6	40.9	23.3	48.8
GPT-4 (OmniParser)	93.9	57.0	91.3	63.6	81.3	51.0	73.0
GPT-4 (UGround-7B)	90.1	70.3	87.1	55.7	85.7	64.6	75.6
GPT-4o (SeeClick)	81.0	59.8	69.6	33.6	43.9	26.2	52.3
GPT-4o (UGround-7B)	93.4	76.9	92.8	67.9	88.7	68.9	81.4
Agent Model
GPT-4	22.6	24.5	20.2	11.8	9.2	8.8	16.2
GPT-4o	20.2	24.9	21.1	23.6	12.2	7.8	18.3
CogAgent	67.0	24.0	74.2	20.0	70.4	28.6	47.4
SeeClick	78.0	52.0	72.2	30.0	55.7	32.5	53.4
Qwen2-VL	75.5	60.7	76.3	54.3	35.2	25.7	55.3
UGround-7B	82.8	60.3	82.5	63.6	80.4	70.4	73.3
Aguvis-G-7B	88.3	78.2	88.1	70.7	85.7	74.8	81.8
OS-Atlas-7B	93.0	72.9	91.8	62.9	90.9	74.3	82.5
Claude Computer Use	-	-	-	-	-	-	83.0
Gemini 2.0 (Project Mariner)	-	-	-	-	-	-	84.0
Aguvis-7B	95.6	77.7	93.8	67.1	88.3	75.2	84.4
Aguvis-72B	94.5	85.2	95.4	77.9	91.3	85.9	89.2
Our Model
UI-TARS-2B	93.0	75.5	90.7	68.6	84.3	74.8	82.3
UI-TARS-7B	94.5	85.2	95.9	85.7	90.0	83.5	89.5
UI-TARS-72B	94.9	82.5	89.7	88.6	88.7	85.0	88.4

ScreenSpot v2

Method	Mobile-Text	Mobile-Icon/Widget	Desktop-Text	Desktop-Icon/Widget	Web-Text	Web-Icon/Widget	Avg
Agent Framework
GPT-4o (SeeClick)	85.2	58.8	79.9	37.1	72.7	30.1	63.6
GPT-4o (OS-Atlas-4B)	95.5	75.8	79.4	49.3	90.2	66.5	79.1
GPT-4o (OS-Atlas-7B)	96.2	83.4	89.7	69.3	94.0	79.8	87.1
Agent Model
SeeClick	78.4	50.7	70.1	29.3	55.2	32.5	55.1
OS-Atlas-4B	87.2	59.7	72.7	46.4	85.9	63.1	71.9
OS-Atlas-7B	95.2	75.8	90.7	63.6	90.6	77.3	84.1
Our Model
UI-TARS-2B	95.2	79.1	90.7	68.6	87.2	78.3	84.7
UI-TARS-7B	96.9	89.1	95.4	85.0	93.6	85.2	91.6
UI-TARS-72B	94.8	86.3	91.2	87.9	91.5	87.7	90.3

Offline Agent Capability Evaluation

Multimodal Mind2Web

Method	Cross-Task Ele.Acc	Cross-Task Op.F1	Cross-Task Step SR	Cross-Website Ele.Acc	Cross-Website Op.F1	Cross-Website Step SR	Cross-Domain Ele.Acc	Cross-Domain Op.F1	Cross-Domain Step SR
Agent Framework
GPT-4o (SeeClick)	32.1	-	-	33.1	-	-	33.5	-	-
GPT-4o (UGround)	47.7	-	-	46.0	-	-	46.6	-	-
GPT-4o (Aria-UI)	57.6	-	-	57.7	-	-	61.4	-	-
GPT-4V (OmniParser)	42.4	87.6	39.4	41.0	84.8	36.5	45.5	85.7	42.0
Agent Model
GPT-4o	5.7	77.2	4.3	5.7	79.0	3.9	5.5	86.4	4.5
GPT-4 (SOM)	29.6	-	20.3	20.1	-	13.9	27.0	-	23.7
GPT-3.5 (Text-only)	19.4	59.2	16.8	14.9	56.5	14.1	25.2	57.9	24.1
GPT-4 (Text-only)	40.8	63.1	32.3	30.2	61.0	27.0	35.4	61.9	29.7
Claude	62.7	84.7	53.5	59.5	79.6	47.7	64.5	85.4	56.4
Aguvis-7B	64.2	89.8	60.4	60.7	88.1	54.6	60.4	89.2	56.6
CogAgent	-	-	62.3	-	-	54.0	-	-	59.4
Aguvis-72B	69.5	90.8	64.0	62.6	88.6	56.5	63.5	88.5	58.2
Our Model
UI-TARS-2B	62.3	90.0	56.3	58.5	87.2	50.8	58.8	89.6	52.3
UI-TARS-7B	73.1	92.2	67.1	68.2	90.9	61.7	66.6	90.9	60.5
UI-TARS-72B	74.7	92.5	68.6	72.4	91.2	63.5	68.9	91.8	62.1

Android Control and GUI Odyssey

Agent Models	AndroidControl-Low Type	AndroidControl-Low Grounding	AndroidControl-Low SR	AndroidControl-High Type	AndroidControl-High Grounding	AndroidControl-High SR	GUIOdyssey Type	GUIOdyssey Grounding	GUIOdyssey SR
Claude	74.3	0.0	19.4	63.7	0.0	12.5	60.9	0.0	3.1
GPT-4o	74.3	0.0	19.4	66.3	0.0	20.8	34.3	0.0	3.3
SeeClick	93.0	73.4	75.0	82.9	62.9	59.1	71.0	52.4	53.9
InternVL-2-4B	90.9	84.1	80.1	84.1	72.7	66.7	82.1	55.5	51.5
Qwen2-VL-7B	91.9	86.5	82.6	83.8	77.7	69.7	83.5	65.9	60.2
Aria-UI	--	87.7	67.3	--	43.2	10.2	--	86.8	36.5
OS-Atlas-4B	91.9	83.8	80.6	84.7	73.8	67.5	83.5	61.4	56.4
OS-Atlas-7B	93.6	88.0	85.2	85.2	78.5	71.2	84.5	67.8	62.0
Aguvis-7B	--	--	80.5	--	--	61.5	--	--	--
Aguvis-72B	--	--	84.4	--	--	66.4	--	--	--
UI-TARS-2B	98.1	87.3	89.3	81.2	78.4	68.9	93.9	86.8	83.4
UI-TARS-7B	98.0	89.3	90.8	83.7	80.5	72.5	94.6	90.1	87.0
UI-TARS-72B	98.1	89.9	91.3	85.2	81.5	74.7	95.4	91.4	88.6

Online Agent Capability Evaluation

Method	OSWorld (Online)	AndroidWorld (Online)
Agent Framework
GPT-4o (UGround)	-	32.8
GPT-4o (Aria-UI)	15.2	44.8
GPT-4o (Aguvis-7B)	14.8	37.1
GPT-4o (Aguvis-72B)	17.0	-
GPT-4o (OS-Atlas-7B)	14.6	-
Agent Model
GPT-4o	5.0	34.5 (SoM)
Gemini-Pro-1.5	5.4	22.8 (SoM)
Aguvis-72B	10.3	26.1
Claude Computer-Use	14.9 (15 steps)	27.9
Claude Computer-Use	22.0 (50 steps)	-
Our Model
UI-TARS-7B-SFT	17.7 (15 steps)	33.0
UI-TARS-7B-DPO	18.7 (15 steps)	-
UI-TARS-72B-SFT	18.8 (15 steps)	46.6
UI-TARS-72B-DPO	22.7 (15 steps)	-
UI-TARS-72B-DPO	24.6 (50 steps)	-

Citation#

If you find our paper and model useful in your research, feel free to give us a cite.

@article{qin2025ui,
  title={UI-TARS: Pioneering Automated GUI Interaction with Native Agents},
  author={Qin, Yujia and Ye, Yining and Fang, Junjie and Wang, Haoming and Liang, Shihao and Tian, Shizuo and Zhang, Junda and Li, Jiahao and Li, Yunxin and Huang, Shijue and others},
  journal={arXiv preprint arXiv:2501.12326},
  year={2025}
}

Files

17 files · 16.6 GBWeights 16.6 GB (safetensors). Sizes and sha256 from the signed manifest.

Hide all 17 files with their sha256

File	Size	sha256
.gitattributes	1.57 KB	34448b82c17d60fec9b65b1f093c115ddbaadc04beb1b0140b6bfed2e012a930
README.md	16.0 KB	f66e5528903bccdc2f3f7fe88aa7c4d5f38c19d1d0cdb0c4cba6fad4353b979e
added_tokens.json	392 B	7fa54985b58718a8fdb4f4d97484c4bd908db114847675e4bf3afe3e1d5d7bd4
chat_template.json	1.05 KB	94174d7176c52a7192f96fc34eb2cf23c7c2059d63cdbfadca1586ba89731fb7
config.json	1.20 KB	4745aaba24756172765cb804b86512792202df6c65ac28989355971bbb27649c
generation_config.json	121 B	f705aca952e2d86ca1dda082c659143386277ab79329041f66206a55349d9001
merges.txt	1.67 MB	8831e4f1a044471340f7c0a83d7bd71306a5b867e95fd870f74d0c5308a904d5
model-00001-of-00004.safetensors	4.97 GB	b34430eb2cd3ccab215a1596082040c246341afdb2b5e6706843d5d97725d498
model-00002-of-00004.safetensors	4.99 GB	c85a5725ffb993a23a9a14f7647559bc12a5fa16323b053c72b05017c0a5b819
model-00003-of-00004.safetensors	4.93 GB	0833e517057ebafeabae01bbf55648b1080c6c8b8c28fa47904f00641b1e8d38
model-00004-of-00004.safetensors	1.69 GB	d8cd7d58c0c4d01cb89328e09de818a9cde19e80394ef511b00052fbe6eec18f
model.safetensors.index.json	56.5 KB	cfba9f087a2a64f2b3fa6303766f6bccd9b4c4ee109509d220e99f8146211b3a
preprocessor_config.json	565 B	3fb6b571faa973219262e669b33d416259b7e002707cfc687439f88d327ca183
special_tokens_map.json	613 B	76862e765266b85aa9459767e33cbaf13970f327a0e88d1c65846c2ddd3a1ecd
tokenizer.json	11.4 MB	091aa7594dc2fcfbfa06b9e3c22a5f0562ac14f30375c13af7309407a0e67b8a
tokenizer_config.json	3.58 KB	e758b58eccda07b9610d9d314cc15a289b4e2dfb349289d594b3afb32b4827b9
vocab.json	2.78 MB	ca10d7e9fb3ed18575dd1e277a2579c16d108e32f27439684afa0e10b1440910

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

Upstream commit	Date	Contents
727b0df392 pinned now	2026-11-15 03:26 UTC	17 files · 16.6 GB

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$ fw get bytedance-research/UI-TARS-7B-DPO
# manifest sha256 89854a9c1886… · 16.6 GB · 17 files
$ fw verify ./UI-TARS-7B-DPO bytedance-research/UI-TARS-7B-DPO

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

$ python3 fw.py get https://freeweights.allternit.com/manifests/bytedance-research/UI-TARS-7B-DPO.json --dir ./UI-TARS-7B-DPO
$ python3 fw.py verify ./UI-TARS-7B-DPO ./bytedance-research__UI-TARS-7B-DPO.json

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

$ HF_ENDPOINT=https://freeweights.allternit.com hf download bytedance-research/UI-TARS-7B-DPO --revision 727b0df39207dafc6cf211a61f29d84b7659c39c --local-dir ./UI-TARS-7B-DPO

transformersLoad the weights in Python.

import os
os.environ["HF_ENDPOINT"] = "https://freeweights.allternit.com"
from transformers import AutoModelForImageTextToText, AutoProcessor
processor = AutoProcessor.from_pretrained("bytedance-research/UI-TARS-7B-DPO", revision="727b0df39207dafc6cf211a61f29d84b7659c39c")
model = AutoModelForImageTextToText.from_pretrained("bytedance-research/UI-TARS-7B-DPO", revision="727b0df39207dafc6cf211a61f29d84b7659c39c", device_map="auto")

vLLMServe an OpenAI-compatible API.

$ HF_ENDPOINT=https://freeweights.allternit.com vllm serve bytedance-research/UI-TARS-7B-DPO --revision 727b0df39207dafc6cf211a61f29d84b7659c39c

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License

Name: Apache License 2.0
Id: Apache-2.0
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: f66e5528903bccdc2f3f7fe88aa7c4d5f38c19d1d0cdb0c4cba6fad4353b979e
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Provenance

From: bytedance-research <huggingface.co/bytedance-research>Newsgroups: alt.freeweights.textSubject: UI-TARS-7B-DPODate: 2026-11-15Commit: 727b0dfSigned: 2DC28CC7B26A283B ✓

Upstream: bytedance-research/UI-TARS-7B-DPO
Pinned commit: 727b0df39207dafc6cf211a61f29d84b7659c39c
Manifest: UI-TARS-7B-DPO.json · .minisig
Manifest sha256: 89854a9c1886cfa2953d52c3c14f6abb4749929148e44d92455b648efeebcf71
Signature: minisign, Ed25519, key 2DC28CC7B26A283B
Created: 2026-11-15 03:26 UTC
Generator: freeweights-manifest/0.1.0
Takedowns: None.

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From: laion <huggingface.co/laion>Subject: a2-rl-e2egit_large-50-32B

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UI-TARS-7B-DPO

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UI-TARS-7B-DPO#

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