What are the hardware requirements for UI Venus 1.5 2B?

UI Venus 1.5 2B requires approximately 4.9 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed UI Venus 1.5 2B and how large is it?

UI Venus 1.5 2B is developed by inclusionAI, 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 UI Venus 1.5 2B?

UI Venus 1.5 2B is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

UI Venus 1.5 2B by inclusionAI — VRAM 4.9GB

Name: UI Venus 1.5 2B
Author: inclusionAI

UI Venus 1.5 2B is an open-source language model by inclusionAI. Features: 2b LLM, VRAM: 4.9GB, License: apache-2.0, LLM Explorer Score: 0.24.

Arxiv:2508.10833 Arxiv:2602.09082 Agent Conversational Deploy:azure Endpoints compatible Eval-results Gui Image-text-to-text Multimodel Qwen3 vl Region:us Safetensors

Model Card on HF 🤗: https://huggingface.co/inclusionAI/UI-Venus-1.5-2B

UI Venus 1.5 2B Parameters and Internals

LLM Name	UI Venus 1.5 2B
Repository 🤗	https://huggingface.co/inclusionAI/UI-Venus-1.5-2B
Model Size	2b
Required VRAM	4.9 GB
Updated	2026-08-08
Maintainer	inclusionAI
Model Type	qwen3_vl
Model Files	4.9 GB
Model Architecture	Qwen3VLForConditionalGeneration
License	apache-2.0
Model Max Length	262144
Transformers Version	4.57.1
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|endoftext\|>
Errors	replace

Rank the UI Venus 1.5 2B 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 UI Venus 1.5 2B

Best Alternatives	Context / RAM	Downloads	Likes
WeVisOne VL 2B	0K / 4.9 GB	2049	39
Qwen3 VL 2B Instruct	0K / 4.3 GB	2204577	448
Qwen3 VL Reranker 2B	0K / 4.3 GB	764323	212
WeVisDoc 2B	0K / 4.9 GB	599	14
Qwen3 VL 2B Thinking	0K / 4.3 GB	74744	115
...wen3 Vl 2B Foveated Search Fp8	0K / 2.9 GB	46	1
Qwen3vl 2B Ag Merged	0K / 4.3 GB	31	0
PhysBrain1.5 2B	0K / 4.3 GB	272	13
Qwen3 VL 2B Instruct FP8	0K / 3.5 GB	65063	43
VIG Qwen3 VL Thinking 2B	0K / 4.9 GB	55	1

Note: green Score (e.g. "73.2") means that the model is better than inclusionAI/UI-Venus-1.5-2B.