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

VIG Qwen3 VL Thinking 4B requires approximately 9.7 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

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

VIG Qwen3 VL Thinking 4B is developed by chaser2, 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 VIG Qwen3 VL Thinking 4B?

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

VIG Qwen3 VL Thinking 4B by chaser2 — VRAM 9.7GB

Name: VIG Qwen3 VL Thinking 4B
Author: chaser2

VIG Qwen3 VL Thinking 4B is an open-source language model by chaser2. Features: 4b LLM, VRAM: 9.7GB, License: apache-2.0, LLM Explorer Score: 0.28.

Conversational Endpoints compatible Image-text-to-text Qwen3-vl Qwen3 vl Reasoning Region:us Safetensors Vig Vision Vision-language

Model Card on HF 🤗: https://huggingface.co/chaser2/VIG-Qwen3-VL-Thinking-4B

VIG Qwen3 VL Thinking 4B Parameters and Internals

LLM Name	VIG Qwen3 VL Thinking 4B
Repository 🤗	https://huggingface.co/chaser2/VIG-Qwen3-VL-Thinking-4B
Model Size	4b
Required VRAM	9.7 GB
Updated	2026-11-01
Maintainer	chaser2
Model Type	qwen3_vl
Model Files	9.7 GB 0.0 GB
Model Architecture	Qwen3VLForConditionalGeneration
License	apache-2.0
Model Max Length	262144
Transformers Version	5.3.0
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|endoftext\|>
Errors	replace

Rank the VIG Qwen3 VL Thinking 4B 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 VIG Qwen3 VL Thinking 4B

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
WeVisDoc 4B	0K / 9.7 GB	349	31
Qwen3 VL 4B Instruct FP8	0K / 6.1 GB	301103	65
AA VL 4B	0K / 8.9 GB	87	0
Kayak V2	0K / 17.7 GB	31	0
Qwen3 VL 4B Thinking	0K / 8.9 GB	21715	118
Op Hrg Qwen3vl4b Instruct	0K / 9.7 GB	51	2
Docision 1.0	0K / 10.5 GB	30	1

Note: green Score (e.g. "73.2") means that the model is better than chaser2/VIG-Qwen3-VL-Thinking-4B.