What are the hardware requirements for Qwen3 VL 8B Thinking?

Qwen3 VL 8B Thinking requires approximately 17.5 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Qwen3 VL 8B Thinking and how large is it?

Qwen3 VL 8B Thinking is developed by Qwen, a model with 8b 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 8B Thinking?

Qwen3 VL 8B Thinking is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Qwen3 VL 8B Thinking by Qwen — VRAM 17.5GB

Name: Qwen3 VL 8B Thinking
Author: Qwen

Qwen3 VL 8B Thinking is an open-source language model by Qwen. Features: 8b LLM, VRAM: 17.5GB, License: apache-2.0, LLM Explorer Score: 0.3.

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-8B-Thinking

Qwen3 VL 8B Thinking Parameters and Internals

LLM Name	Qwen3 VL 8B Thinking
Repository 🤗	https://huggingface.co/Qwen/Qwen3-VL-8B-Thinking
Model Size	8b
Required VRAM	17.5 GB
Updated	2026-08-10
Maintainer	Qwen
Model Type	qwen3_vl
Model Files	4.9 GB: 1-of-4 4.9 GB: 2-of-4 5.0 GB: 3-of-4 2.7 GB: 4-of-4
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 8B 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 8B Thinking

Model	Likes	Downloads	VRAM
...L 8B Thinking Unsloth Bnb 4bit	5	1132	8 GB
Qwen3 VL 8B Thinking Bnb 4bit	3	363	7 GB

Best Alternatives to Qwen3 VL 8B Thinking

Best Alternatives	Context / RAM	Downloads	Likes
Qwen3 VL 8B Instruct	0K / 17.5 GB	4494329	1037
Holo2 8B	0K / 17.5 GB	1924	30
Qwen3 VL 8B Instruct FP8	0K / 10.6 GB	3108604	77
SpatialCLI 8B	0K / 17.5 GB	91	4
UI Venus 1.5 8B	0K / 17.5 GB	8435	29
MAI UI 8B	0K / 17.6 GB	2224	199
ZwZ 8B	0K / 17.6 GB	2586	48
... Simple Path Dense S100 Step90	0K / 17.5 GB	13	1
EvoCUA 8B 20260105	0K / 17.5 GB	4417	16
Qwen3 VL 8B Thinking FP8	0K / 10.6 GB	14280	33

Note: green Score (e.g. "73.2") means that the model is better than Qwen/Qwen3-VL-8B-Thinking.