What are the hardware requirements for Qwen3 VL 2B Thinking 4bit?

Qwen3 VL 2B Thinking 4bit requires approximately 1.8 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Qwen3 VL 2B Thinking 4bit and how large is it?

Qwen3 VL 2B Thinking 4bit is developed by mlx-community, a model with 2b 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 2B Thinking 4bit?

Qwen3 VL 2B Thinking 4bit is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Qwen3 VL 2B Thinking 4bit by mlx-community — VRAM 1.8GB

Name: Qwen3 VL 2B Thinking 4bit
Author: mlx-community

Qwen3 VL 2B Thinking 4bit is an open-source language model by mlx-community. Features: 2b LLM, VRAM: 1.8GB, License: apache-2.0, Quantized, LLM Explorer Score: 0.21.

4-bit 4bit Conversational Endpoints compatible Image-text-to-text Mlx Quantized Qwen3 vl Region:us Safetensors

Model Card on HF 🤗: https://huggingface.co/mlx-community/Qwen3-VL-2B-Thinking-4bit

Qwen3 VL 2B Thinking 4bit Parameters and Internals

LLM Name	Qwen3 VL 2B Thinking 4bit
Repository 🤗	https://huggingface.co/mlx-community/Qwen3-VL-2B-Thinking-4bit
Model Size	2b
Required VRAM	1.8 GB
Updated	2026-08-08
Maintainer	mlx-community
Model Type	qwen3_vl
Model Files	1.8 GB
Quantization Type	4bit
Model Architecture	Qwen3VLForConditionalGeneration
License	apache-2.0
Model Max Length	262144
Transformers Version	4.57.1
Padding Token	<\|endoftext\|>
Errors	replace

Rank the Qwen3 VL 2B Thinking 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

Best Alternatives to Qwen3 VL 2B Thinking 4bit

Best Alternatives	Context / RAM	Downloads	Likes
...L 2B Instruct Unsloth Bnb 4bit	0K / 2.4 GB	164844	8
...i Qwen3 VL 2B Instruct Ab 4bit	0K / 1.8 GB	144	1
Qwen3 VL 2B Instruct 4bit	0K / 1.8 GB	1881	2
Qwen3 VL 2B Instruct 8bit	0K / 2.6 GB	76	1
Qwen3 VL 2B Instruct 6bit	0K / 2.2 GB	36	1
Qwen3 VL 2B Instruct Bnb 4bit	0K / 2.2 GB	938	3
...L 2B Thinking Unsloth Bnb 4bit	0K / 2.3 GB	177	1
Qwen 3 VL 2B Instruct Heretic	0K / 4.3 GB	44	2
Typhoon Ocr1.5 2B	0K / 4.3 GB	55029	25
Qwen3 VL 2B Instruct FP8	0K / 3.5 GB	65063	43

Note: green Score (e.g. "73.2") means that the model is better than mlx-community/Qwen3-VL-2B-Thinking-4bit.