What are the hardware requirements for UI TARS 2B SFT?

UI TARS 2B SFT requires approximately 9.8 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 2B SFT and how large is it?

UI TARS 2B SFT is developed by ByteDance-Seed, a model with 2b 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 2B SFT?

UI TARS 2B SFT is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

UI TARS 2B SFT by ByteDance-Seed — VRAM 9.8GB, 32K context

Name: UI TARS 2B SFT
Author: ByteDance-Seed

UI TARS 2B SFT is an open-source language model by ByteDance-Seed. Features: 2b LLM, VRAM: 9.8GB, Context: 32K, License: apache-2.0, LLM Explorer Score: 0.2.

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

Model Card on HF 🤗: https://huggingface.co/ByteDance-Seed/UI-TARS-2B-SFT

UI TARS 2B SFT Parameters and Internals

LLM Name	UI TARS 2B SFT
Repository 🤗	https://huggingface.co/ByteDance-Seed/UI-TARS-2B-SFT
Model Size	2b
Required VRAM	9.8 GB
Updated	2026-08-09
Maintainer	ByteDance-Seed
Model Type	qwen2_vl
Model Files	5.0 GB: 1-of-2 4.8 GB: 2-of-2
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	151936
Torch Data Type	bfloat16
Errors	replace

Rank the UI TARS 2B SFT capabilities

Have you tried this model? Rate its performance — this feedback helps the ML community find the right model for their needs.

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

Best Alternatives to UI TARS 2B SFT

Best Alternatives	Context / RAM	Downloads	Likes
Qwen2 VL 2B	32K / 4.4 GB	50595	66
ShowUI 2B	32K / 4.4 GB	3756	279
GUI Actor Verifier 2B	32K / 4.4 GB	397	13
UGround V1 2B	32K / 4.4 GB	1342	11
Qwen2 VL 2B Instruct Bf16	32K / 4.4 GB	90	1
Qwen2 VL 2B Instruct	32K / 4.4 GB	3	24
ShowUI 2B 6bit V2	32K / 2.8 GB	22	1
Qwen2 VL 2B Instruct 4bit	32K / 1.2 GB	3899	7
Qwen2 VL 2B Instruct 8bit	32K / 2.4 GB	99	2
Qwen2 VL 2B 4bit	32K / 1.2 GB	34	3

Note: green Score (e.g. "73.2") means that the model is better than ByteDance-Seed/UI-TARS-2B-SFT.