What are the hardware requirements for UI TARS 7B DPO?

UI TARS 7B DPO requires approximately 16.6 GB of VRAM and supports a context window of 32K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed UI TARS 7B DPO and how large is it?

UI TARS 7B DPO is developed by HaseekKhasan, a model with 7b parameters. The model is published as open weights on Hugging Face and indexed on LLM Explorer with full benchmark history.

Where can I download or evaluate UI TARS 7B DPO?

UI TARS 7B DPO is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

UI TARS 7B DPO by HaseekKhasan — VRAM 16.6GB, 32K context

Name: UI TARS 7B DPO
Author: HaseekKhasan

UI TARS 7B DPO is an open-source language model by HaseekKhasan. Features: 7b LLM, VRAM: 16.6GB, Context: 32K, License: apache-2.0, LLM Explorer Score: 0.28.

Arxiv:2501.12326 Conversational En Endpoints compatible Gui Image-text-to-text Multimodal Qwen2 vl Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/HaseekKhasan/UI-TARS-7B-DPO

UI TARS 7B DPO Parameters and Internals

LLM Name	UI TARS 7B DPO
Repository 🤗	https://huggingface.co/HaseekKhasan/UI-TARS-7B-DPO
Model Size	7b
Required VRAM	16.6 GB
Updated	2026-09-17
Maintainer	HaseekKhasan
Model Type	qwen2_vl
Model Files	5.0 GB: 1-of-4 5.0 GB: 2-of-4 4.9 GB: 3-of-4 1.7 GB: 4-of-4
Supported Languages	en
Model Architecture	Qwen2VLForConditionalGeneration
License	apache-2.0
Context Length	32768
Model Max Length	32768
Transformers Version	4.41.2
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|endoftext\|>
Vocabulary Size	152064
Torch Data Type	bfloat16
Errors	replace

Rank the UI TARS 7B DPO capabilities

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Instruction Following and Task Automation
Factuality and Completeness of Knowledge
Censorship and Alignment
Data Analysis and Insight Generation
Text Generation
Text Summarization and Feature Extraction
Code Generation
Multi-Language Support and Translation

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OlmOCR 7B 0225 Preview	32K / 16.6 GB	18655	706
Qwen2 VL 7B Instruct	32K / 16.7 GB	33	37
UI TARS 7B DPO	32K / 16.6 GB	1424	233
UI TARS 7B SFT	32K / 33.2 GB	1261	181
OlmOCR 7B 0225 Preview FP8	32K / 10 GB	127	9
ZeroGUI AndroidLab 7B	32K / 16.6 GB	31	5
ZeroGUI OSWorld 7B	32K / 16.6 GB	28	7
OlmOCR 7B 0225 Preview Bf16	32K / 16.6 GB	28	4
Qwen2 VL 7B Instruct	32K / 16.6 GB	908	6
Qwen2 VL 7B	32K / 16.7 GB	1738	68