What are the hardware requirements for Wang Qwen3.5 2B DocTags?

Wang Qwen3.5 2B DocTags requires approximately 4.4 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Wang Qwen3.5 2B DocTags and how large is it?

Wang Qwen3.5 2B DocTags is developed by multimodal-vision-ai, 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 Wang Qwen3.5 2B DocTags?

Wang Qwen3.5 2B DocTags is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Wang Qwen3.5 2B DocTags by multimodal-vision-ai — VRAM 4.4GB

Name: Wang Qwen3.5 2B DocTags
Author: multimodal-vision-ai

Wang Qwen3.5 2B DocTags is an open-source language model by multimodal-vision-ai. Features: 2b LLM, VRAM: 4.4GB, License: apache-2.0.

Conversational Docling Doctags Document-understanding Endpoints compatible Image-text-to-text Ocr Qwen3 5 Region:us Safetensors Vision

Model Card on HF 🤗: https://huggingface.co/multimodal-vision-ai/Wang-Qwen3.5-2B-DocTags

Wang Qwen3.5 2B DocTags Parameters and Internals

LLM Name	Wang Qwen3.5 2B DocTags
Repository 🤗	https://huggingface.co/multimodal-vision-ai/Wang-Qwen3.5-2B-DocTags
Model Size	2b
Required VRAM	4.4 GB
Updated	2026-11-05
Maintainer	multimodal-vision-ai
Model Type	qwen3_5
Model Files	4.4 GB
Model Architecture	Qwen3_5ForConditionalGeneration
License	apache-2.0
Model Max Length	262144
Transformers Version	5.3.0
Tokenizer Class	TokenizersBackend
Padding Token	<\|endoftext\|>
Errors	replace

Rank the Wang Qwen3.5 2B DocTags 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 Wang Qwen3.5 2B DocTags

Best Alternatives	Context / RAM	Downloads	Likes
MiniCPM OCR Jev	0K / 4.4 GB	1770	80
Qwen3.5 2B	0K / 4.5 GB	2633311	352
Index Translate 2B	0K / 4.5 GB	2089	65
RynnBrain1.1 2B	0K / 4.4 GB	268579	12
Qwen3.5 2B Base	0K / 4.5 GB	809591	82
WeMM Embedding 2B	0K / 5.4 GB	5433	68
Qwen3.8 2B Distill Heretic V2	0K / 4.4 GB	836	2
...e Qwen3.5 2B Decision MLX Bf16	0K / 3.8 GB	2801	2
Qwen3.5 2B	0K / 4.5 GB	103487	18
Qwen3.8 2B Distill	0K / 4.5 GB	2056	24

Note: green Score (e.g. "73.2") means that the model is better than multimodal-vision-ai/Wang-Qwen3.5-2B-DocTags.