What are the hardware requirements for Qwen2 VL 2B?

Qwen2 VL 2B requires approximately 4.4 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 Qwen2 VL 2B and how large is it?

Qwen2 VL 2B is developed by unsloth, 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 Qwen2 VL 2B?

Qwen2 VL 2B is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Qwen2 VL 2B by unsloth — VRAM 4.4GB, 32K context

Name: Qwen2 VL 2B
Author: unsloth

Qwen2 VL 2B is an open-source language model by unsloth. Features: 2b LLM, VRAM: 4.4GB, Context: 32K, LLM Explorer Score: 0.16.

Arxiv:1910.09700 Conversational Endpoints compatible Image-text-to-text Qwen2 vl Region:us Safetensors

Model Card on HF 🤗: https://huggingface.co/unsloth/Qwen2-VL-2B

Qwen2 VL 2B Parameters and Internals

LLM Name	Qwen2 VL 2B
Repository 🤗	https://huggingface.co/unsloth/Qwen2-VL-2B
Model Size	2b
Required VRAM	4.4 GB
Updated	2026-08-10
Maintainer	unsloth
Model Type	qwen2_vl
Model Files	4.4 GB
Model Architecture	Qwen2VLForConditionalGeneration
Context Length	32768
Model Max Length	32768
Transformers Version	4.49.0
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|vision_pad\|>
Vocabulary Size	151936
Torch Data Type	bfloat16
Errors	replace

Rank the Qwen2 VL 2B 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 Qwen2 VL 2B

Best Alternatives	Context / RAM	Downloads	Likes
Qwen2 VL 2B	32K / 4.4 GB	50595	66
UI TARS 2B SFT	32K / 9.8 GB	7262	39
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	32K / 4.4 GB	925	5
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
...L 2B Instruct Unsloth Bnb 4bit	32K / 2.5 GB	2312	7

Note: green Score (e.g. "73.2") means that the model is better than unsloth/Qwen2-VL-2B.