What are the hardware requirements for Qwen3 VL 32B Thinking Unsloth Bnb 4bit?

Qwen3 VL 32B Thinking Unsloth Bnb 4bit requires approximately 28.2 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Qwen3 VL 32B Thinking Unsloth Bnb 4bit and how large is it?

Qwen3 VL 32B Thinking Unsloth Bnb 4bit is developed by unsloth, a model with 32b 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 32B Thinking Unsloth Bnb 4bit?

Qwen3 VL 32B Thinking Unsloth Bnb 4bit is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Qwen3 VL 32B Thinking Unsloth Bnb 4bit by unsloth — VRAM 28.2GB

Name: Qwen3 VL 32B Thinking Unsloth Bnb 4bit
Author: unsloth

Qwen3 VL 32B Thinking Unsloth Bnb 4bit is an open-source language model by unsloth. Features: 32b LLM, VRAM: 28.2GB, License: apache-2.0, Quantized.

Arxiv:2308.12966 Arxiv:2409.12191 Arxiv:2502.13923 Arxiv:2505.09388 4-bit 4bit Base model:quantized:qwen/qwen... Base model:qwen/qwen3-vl-32b-t... Bitsandbytes Conversational Endpoints compatible Image-text-to-text Quantized Qwen3 vl Region:us Safetensors Sharded Tensorflow Unsloth

Model Card on HF 🤗: https://huggingface.co/unsloth/Qwen3-VL-32B-Thinking-unsloth-bnb-4bit

Qwen3 VL 32B Thinking Unsloth Bnb 4bit Parameters and Internals

LLM Name	Qwen3 VL 32B Thinking Unsloth Bnb 4bit
Repository 🤗	https://huggingface.co/unsloth/Qwen3-VL-32B-Thinking-unsloth-bnb-4bit
Base Model(s)	Qwen3 VL 32B Thinking Qwen/Qwen3-VL-32B-Thinking
Model Size	32b
Required VRAM	28.2 GB
Updated	2026-08-10
Maintainer	unsloth
Model Type	qwen3_vl
Model Files	4.8 GB: 1-of-6 5.0 GB: 2-of-6 4.8 GB: 3-of-6 5.0 GB: 4-of-6 5.0 GB: 5-of-6 3.6 GB: 6-of-6
Quantization Type	4bit
Model Architecture	Qwen3VLForConditionalGeneration
License	apache-2.0
Model Max Length	262144
Transformers Version	4.57.1
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|vision_pad\|>
Torch Data Type	bfloat16
Errors	replace

Rank the Qwen3 VL 32B Thinking Unsloth Bnb 4bit capabilities

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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 Qwen3 VL 32B Thinking Unsloth Bnb 4bit

Best Alternatives	Context / RAM	Downloads	Likes
Qwen3 VL 32B Instruct Bnb 4bit	0K / 20.5 GB	298846	6
Qwen3 VL 32B Instruct 8bit	0K / 36.1 GB	2925	1
Qwen3 VL 32B Instruct 4bit	0K / 19.6 GB	388	1
Qwen3 VL 32B Thinking 4bit	0K / 19.6 GB	72	2
Qwen3 VL 32B Thinking 8bit	0K / 36.1 GB	47	1
Qwen3 VL 32B Thinking Bnb 4bit	0K / 20.5 GB	55	2
... 32B Instruct Unsloth Bnb 4bit	0K / 32.5 GB	1445	2
Qwen3 VL 32B Instruct	0K / 67 GB	2881482	223
Qwen3 VL 32B Instruct AWQ	0K / 20.7 GB	549544	12
Qwen3 VL 32B Instruct FP8	0K / 35.7 GB	380619	47

Note: green Score (e.g. "73.2") means that the model is better than unsloth/Qwen3-VL-32B-Thinking-unsloth-bnb-4bit.