What are the hardware requirements for Qwen3 VL 4B Thinking?

Qwen3 VL 4B Thinking requires approximately 8.9 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Qwen3 VL 4B Thinking and how large is it?

Qwen3 VL 4B Thinking is developed by Qwen, a model with 4b 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 Qwen3 VL 4B Thinking?

Qwen3 VL 4B Thinking is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Qwen3 VL 4B Thinking by Qwen — VRAM 8.9GB

Name: Qwen3 VL 4B Thinking
Author: Qwen

Qwen3 VL 4B Thinking is an open-source language model by Qwen. Features: 4b LLM, VRAM: 8.9GB, License: apache-2.0, LLM Explorer Score: 0.27.

Arxiv:2308.12966 Arxiv:2409.12191 Arxiv:2502.13923 Arxiv:2505.09388 Conversational Deploy:azure Endpoints compatible Image-text-to-text Qwen3 vl Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/Qwen/Qwen3-VL-4B-Thinking

Qwen3 VL 4B Thinking Parameters and Internals

LLM Name	Qwen3 VL 4B Thinking
Repository 🤗	https://huggingface.co/Qwen/Qwen3-VL-4B-Thinking
Model Size	4b
Required VRAM	8.9 GB
Updated	2026-08-10
Maintainer	Qwen
Model Type	qwen3_vl
Model Files	5.0 GB: 1-of-2 3.9 GB: 2-of-2
Model Architecture	Qwen3VLForConditionalGeneration
License	apache-2.0
Model Max Length	262144
Transformers Version	4.57.0.dev0
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|endoftext\|>
Errors	replace

Rank the Qwen3 VL 4B Thinking 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

Quantized Models of the Qwen3 VL 4B Thinking

Model	Likes	Downloads	VRAM
...L 4B Thinking Unsloth Bnb 4bit	2	1235	4 GB
Qwen3 VL 4B Thinking Bnb 4bit	1	58	3 GB

Best Alternatives to Qwen3 VL 4B Thinking

Best Alternatives	Context / RAM	Downloads	Likes
WeVisOne VL 4B	0K / 19.3 GB	2605	58
Qwen3 VL 4B Instruct	0K / 8.9 GB	3611570	437
MinerU Popo	0K / 17.6 GB	26895	4
Qwen3 VL 4B Instruct FP8	0K / 6.1 GB	301103	65
WeVisDoc 4B	0K / 9.7 GB	349	31
Qwen3 VL 4B Thinking Pashto Zi	0K / 8.9 GB	1426	0
VIG Qwen3 VL Thinking 4B	0K / 9.7 GB	48	1
AA VL 4B	0K / 8.9 GB	87	0
Qwen3 VL 4B VQA SFT	0K / 8.9 GB	40	0
Kayak V2	0K / 17.7 GB	31	0

Note: green Score (e.g. "73.2") means that the model is better than Qwen/Qwen3-VL-4B-Thinking.