alt.freeweights.text / UI-TARS-2B-SFT

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

UI-TARS-2B-SFT

Date: 2026-11-15Commit: f366a1dSigned: 2DC28CC7B26A283B ✓

Image text to text model with 2.4B parameters. Safetensors weights, 9.79 GB in all. Published by bytedance-research under Apache-2.0.

2.4B params9.79GBUI-TARS-2B-SFTsafetensorspermissive

FactsParams2.4BSize9.79 GBFormatssafetensorsTaskimage text to textLicenseApache-2.0From sourcepermissive

$ fw get bytedance-research/UI-TARS-2B-SFT
# manifest sha256 72e5e48a1522… · 9.79 GB · 14 files
$ fw verify ./UI-TARS-2B-SFT bytedance-research/UI-TARS-2B-SFT

From sourceHosted (signed)bytedance-research/UI-TARS-2B-SFTLast check: 2026-11-15 03:26 UTC

Run at home Get help

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

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

Show all 15

Evaluate with

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

simple-evals TruLens HELM

LightEval

Evaluate Weave

Show all 13

Autoevals

Scan with

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

Show all 13

picklescan

Overview Model card Files Use it License Provenance Model tree

Overview

Size: 9.79 GB
Weights: 9.77 GB (safetensors)
Parameters: 2.4B
Formats: safetensors
Task: image text to text
License: Apache-2.0 (permissive)
Files: 14, each with a sha256
Publisher: bytedance-research
Added: 2026-11-15
Section: alt.freeweights.text

Lineage

Original release from the publisher.

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 03:26 UTC	passed

Model card

From the publisher at commit f366a1d. Shown as plain text with links; images open at the publisher.

UI-TARS-2B-SFT#

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

14 files · 9.79 GBWeights 9.77 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	16.4 KB	4830ae0aa6b32597f9fac19addf31d61cad22b2e415d58e1995805857d69c62d
added_tokens.json	392 B	7fa54985b58718a8fdb4f4d97484c4bd908db114847675e4bf3afe3e1d5d7bd4
chat_template.json	1.05 KB	94174d7176c52a7192f96fc34eb2cf23c7c2059d63cdbfadca1586ba89731fb7
config.json	1.20 KB	422adefa19e62dd175961cec85bc0400344fe5bf9b22bd1182e05aaae78556e0
merges.txt	1.67 MB	8831e4f1a044471340f7c0a83d7bd71306a5b867e95fd870f74d0c5308a904d5
model-00001-of-00002.safetensors	4.98 GB	8c1fe51e8b3b73cbbcdf97f0e087602fbe1377989d23da5b840c9bab0825598a
model-00002-of-00002.safetensors	4.79 GB	b1504c414c865888c250f207e5619a739507923f34bd90adb66d71bc4d751545
model.safetensors.index.json	56.5 KB	afe6dc9214c4bcf414d7a171fbd26ca7d7a441a2abb3b571d212b56ba5ba58af
preprocessor_config.json	565 B	3fb6b571faa973219262e669b33d416259b7e002707cfc687439f88d327ca183
special_tokens_map.json	613 B	76862e765266b85aa9459767e33cbaf13970f327a0e88d1c65846c2ddd3a1ecd
tokenizer.json	11.4 MB	091aa7594dc2fcfbfa06b9e3c22a5f0562ac14f30375c13af7309407a0e67b8a
tokenizer_config.json	4.30 KB	b73709905b255a37b3b9840db1a2044efa855c545170219a6abcc2f77e5fd809
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
f366a1db3e pinned now	2026-11-15 03:26 UTC	14 files · 9.79 GB

Use it

$ fw get bytedance-research/UI-TARS-2B-SFT
# manifest sha256 72e5e48a1522… · 9.79 GB · 14 files
$ fw verify ./UI-TARS-2B-SFT bytedance-research/UI-TARS-2B-SFT

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-2B-SFT.json --dir ./UI-TARS-2B-SFT
$ python3 fw.py verify ./UI-TARS-2B-SFT ./bytedance-research__UI-TARS-2B-SFT.json

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

$ HF_ENDPOINT=https://freeweights.allternit.com hf download bytedance-research/UI-TARS-2B-SFT --revision f366a1db3e7f29635f5b236d6a71dea367a0a700 --local-dir ./UI-TARS-2B-SFT

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-2B-SFT", revision="f366a1db3e7f29635f5b236d6a71dea367a0a700")
model = AutoModelForImageTextToText.from_pretrained("bytedance-research/UI-TARS-2B-SFT", revision="f366a1db3e7f29635f5b236d6a71dea367a0a700", device_map="auto")

vLLMServe an OpenAI-compatible API.

$ HF_ENDPOINT=https://freeweights.allternit.com vllm serve bytedance-research/UI-TARS-2B-SFT --revision f366a1db3e7f29635f5b236d6a71dea367a0a700

Run at home

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: 4830ae0aa6b32597f9fac19addf31d61cad22b2e415d58e1995805857d69c62d
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: bytedance-research <huggingface.co/bytedance-research>Newsgroups: alt.freeweights.textSubject: UI-TARS-2B-SFTDate: 2026-11-15Commit: f366a1dSigned: 2DC28CC7B26A283B ✓

Upstream: bytedance-research/UI-TARS-2B-SFT
Pinned commit: f366a1db3e7f29635f5b236d6a71dea367a0a700
Manifest: UI-TARS-2B-SFT.json · .minisig
Manifest sha256: 72e5e48a152260087b12424f8cc759f33bdfaf77968ddcb3e3d06e9d8b276273
Signature: minisign, Ed25519, key 2DC28CC7B26A283B
Created: 2026-11-15 03:26 UTC
Generator: freeweights-manifest/0.1.0
Takedowns: None.

How to verify

$ curl -O https://freeweights.allternit.com/manifests/bytedance-research/UI-TARS-2B-SFT.json
$ curl -O https://freeweights.allternit.com/manifests/bytedance-research/UI-TARS-2B-SFT.json.minisig
$ minisign -Vm UI-TARS-2B-SFT.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

No related models in this catalog.Nothing here lists this model as its parent, and it names no parent.

Get it

Download

$ HF_ENDPOINT=https://freeweights.allternit.com hf download bytedance-research/UI-TARS-2B-SFT

Open in Freeweights Studio

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

Signed manifest

minisign, key 2DC28CC7B26A283B. UI-TARS-2B-SFT.json. Provenance. Takedown history: none.

Source

huggingface.co/bytedance-research/UI-TARS-2B-SFT

Related models

All of alt.freeweights.text →

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

From: laion <huggingface.co/laion>Subject: a3-rl-DCAgent_exp_rpt_e2egit-large-15-8B

From: laion <huggingface.co/laion>Subject: a3-rl-DCAgent_exp_rpt_e2egit-v2-10-8B

From: laion <huggingface.co/laion>Subject: a3-rl-DCAgent_exp_rpt_pymethods2test-large-80-8B

From: laion <huggingface.co/laion>Subject: a3-rl-DCAgent_exp_rpt_unitsyn-python-large-10-8B

From: laion <huggingface.co/laion>Subject: a3-rl-DCAgent_mix_h2_language_proportional-65-8B

UI-TARS-2B-SFT

Works with

Runs with

Fine-tune with

Convert with

Evaluate with

Scan with

Works with

Overview

Model card

UI-TARS-2B-SFT#

Introduction#

Performance#

Citation#

Files

Use it

License

Provenance

How to verify

Model tree

Related models