What are the hardware requirements for Ui Tars 2B Mlx 4bit?

Ui Tars 2B Mlx 4bit requires approximately 2.2 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 Mlx 4bit and how large is it?

Ui Tars 2B Mlx 4bit is developed by wi-fi2, 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 Mlx 4bit?

Ui Tars 2B Mlx 4bit is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Ui Tars 2B Mlx 4bit by wi-fi2 — VRAM 2.2GB, 32K context

Name: Ui Tars 2B Mlx 4bit
Author: wi-fi2

Ui Tars 2B Mlx 4bit is an open-source language model by wi-fi2. Features: 2b LLM, VRAM: 2.2GB, Context: 32K, Quantized.

4-bit 4bit Conversational En Image-text-to-text Mlx Quantized Qwen2 vl Region:us Safetensors

Model Card on HF 🤗: https://huggingface.co/wi-fi2/ui_tars_2b_mlx_4bit

Ui Tars 2B Mlx 4bit Parameters and Internals

LLM Name	Ui Tars 2b Mlx 4bit
Repository 🤗	https://huggingface.co/wi-fi2/ui_tars_2b_mlx_4bit
Model Size	2b
Required VRAM	2.2 GB
Updated	2026-09-12
Maintainer	wi-fi2
Model Type	qwen2_vl
Model Files	2.2 GB
Supported Languages	en
Quantization Type	4bit
Model Architecture	Qwen2VLForConditionalGeneration
Context Length	32768
Model Max Length	32768
Transformers Version	5.16.1
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|endoftext\|>
Vocabulary Size	151936
Errors	replace

Rank the Ui Tars 2B Mlx 4bit 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 Mlx 4bit

Best Alternatives	Context / RAM	Downloads	Likes
ShowUI 2B 6bit V2	32K / 2.8 GB	22	1
...L 2B Instruct Unsloth Bnb 4bit	32K / 2.5 GB	2312	7
Qwen2 VL 2B Instruct 4bit	32K / 1.2 GB	3899	7
Qwen2 VL 2B Instruct Bnb 4bit	32K / 1.5 GB	1605	1
Qwen2 VL 2B Bnb 4bit	32K / 1.5 GB	40	1
Qwen2 VL 2B Instruct 8bit	32K / 2.4 GB	99	2
Qwen2 VL 2B 4bit	32K / 1.2 GB	34	3
Qwen2 VL 2B 8bit	32K / 2.4 GB	21	1
Qwen2 VL 2B	32K / 4.4 GB	50595	66
UI TARS 2B SFT	32K / 9.8 GB	4123	39

Note: green Score (e.g. "73.2") means that the model is better than wi-fi2/ui_tars_2b_mlx_4bit.