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

Qwen3 VL 4B Instruct Unsloth Bnb 4bit requires approximately 4.3 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

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

Qwen3 VL 4B Instruct Unsloth Bnb 4bit is developed by unsloth, 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 Instruct Unsloth Bnb 4bit?

Qwen3 VL 4B Instruct 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 4B Instruct Unsloth Bnb 4bit by unsloth — VRAM 4.3GB

Name: Qwen3 VL 4B Instruct Unsloth Bnb 4bit
Author: unsloth

Qwen3 VL 4B Instruct Unsloth Bnb 4bit is an open-source language model by unsloth. Features: 4b LLM, VRAM: 4.3GB, License: apache-2.0, Quantized, Instruction-Based, LLM Explorer Score: 0.29.

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-4b-in... Bitsandbytes Conversational Image-text-to-text Instruct Quantized Qwen3 vl Region:us Safetensors Unsloth

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

Qwen3 VL 4B Instruct Unsloth Bnb 4bit Parameters and Internals

LLM Name	Qwen3 VL 4B Instruct Unsloth Bnb 4bit
Repository 🤗	https://huggingface.co/unsloth/Qwen3-VL-4B-Instruct-unsloth-bnb-4bit
Base Model(s)	Qwen3 VL 4B Instruct Qwen/Qwen3-VL-4B-Instruct
Model Size	4b
Required VRAM	4.3 GB
Updated	2026-08-09
Maintainer	unsloth
Model Type	qwen3_vl
Instruction-Based	Yes
Model Files	4.3 GB
Quantization Type	4bit
Model Architecture	Qwen3VLForConditionalGeneration
License	apache-2.0
Model Max Length	262144
Transformers Version	4.57.0
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|vision_pad\|>
Torch Data Type	bfloat16
Errors	replace

Rank the Qwen3 VL 4B Instruct Unsloth Bnb 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

Quantized Models of the Qwen3 VL 4B Instruct Unsloth Bnb 4bit

Model	Likes	Downloads	VRAM
QiFu V1	1	64	0 GB

Best Alternatives to Qwen3 VL 4B Instruct Unsloth Bnb 4bit

Best Alternatives	Context / RAM	Downloads	Likes
Qwen3 VL 4B Instruct 4bit	0K / 3.1 GB	17416	7
Qwen3 VL 4B Instruct Bnb 4bit	0K / 3.5 GB	1492	3
Qwen3 VL 4B Instruct 8bit	0K / 5.1 GB	587	3
Qwen3 VL 4B Instruct 3bit	0K / 2.6 GB	275	4
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
Qwen3 VL 4B Instruct AWQ 4bit	0K / 4.4 GB	244673	9
Spatial Interactor Qwen3 VL 4B	0K / 9.7 GB	82	0
SFT 4B ScaleCUA MixedOpen	0K / 8.9 GB	33	0

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