Model reference · open weights
UI-Venus-2 is an open-weight language model from inclusionAI, listed in the AxForge catalogue. AxForge can bring it up on EU-owned hardware for you on request — with the licence handled where one is required.
About
UI-Venus-2-9B [](#citation) [](https://ui-venus.github.io/UI-Venus-2/) [](https://github.com/inclusionAI/UI-Venus) [](https://huggingface.co/collections/inclusionAI/ui-venus) UI-Venus-2 is a general-purpose foundation GUI agent designed to operate across mobile applications, web platforms, and desktop operating systems through a unified closed-loop reasoning–action framework: the agent observes the current interface, reasons about the task state, executes an action, and incorporates environmental feedback into its next decision. To bridge the gap from benchmark-oriented models toward dependable real-world applications, UI-Venus-2 jointly scales three critical dimensions: - Environments — expanding the executable mobile pool to 170+ multilingual apps (100+ Chinese and 70+ English), alongside a curated web pool of 4,000+ domains across 19 categories and native desktop operating systems; - Tasks — a deep-research pipeline that grounds generated instructions in the actual functionality of each application, improving the accuracy, validity, and executability of task queries; - Verification — trace-level and sample-level evaluators based on task-relevant visual keypoints and multi-model voting, providing reliable RL reward signals that are robust to reward hacking. UI-Venus-2 is evaluated for consequential-action safety on OSHarm and OSBlind. UI-Venus-2-9B achieves an Attack Success Rate (ASR, lower is better) of 11.3% on OSHarm and 48.8% on OSBlind, compared with 25.3% and 79.4%, respectively, for its Qwen3.5-9B base model. This repository releases the full-parameter weights of UI-Venus-2-9B, initialized from Qwen3.5-9B, which achieves near state-of-the-art performance among models of comparable scale across GUI grounding, mobile, web, computer-use, and CAPTCHA benchmarks. Highlights - Scaled multilingual mobile-use environments with reliable task generation. A substantially expanded executable mobile pool covering Chinese and English app ecosystems, paired with a deep-research-driven query-generation strategy grounded in real application functionality. - Computer-use capability built from the ground up. Dedicated desktop operating-system capabilities constructed fro
Summarised from the published model card. Read the full card on the HuggingFace links below.
Specifications
| Maker | inclusionAI |
|---|---|
| Type | Language models |
| Parameters (lead) | 1M |
| Variants | 1 |
| Runs with | transformers |
| Based on | Qwen/Qwen3.5-9B |
| Released | 2026-08-26 |
| Popularity | 1k downloads / month |
| Likes | 17 |
| Licence | Commercial licence needed |
How it works
Variants
Open weights ship in several sizes and precisions. One page, all the variants — pick the one that fits your GPU. VRAM figures are estimates from model size.
| Variant | Params | Precision | VRAM | Fits 16 GB | Weights |
|---|---|---|---|---|---|
| UI-Venus-2-9B | 1M | BF16 | ~0 GB | ✓ | Weights ↗ |
Using it via the API
Once AxForge deploys ui-venus-2 for you, it answers on the OpenAI-compatible API — the same base URL and keys as every other model. (ui-venus-2 below is illustrative; you get the exact model name on deployment.)
$ curl -sS https://api.axforge.ai/v1/chat/completions \
-H "Authorization: Bearer $AXFORGE_API_KEY" \
-H "Content-Type: application/json" \
-d '{"model":"ui-venus-2","messages":[{"role":"user","content":"Hello"}]}'
Licence
The weights are open but its licence needs a commercial agreement for business use. AxForge can arrange that licence and host the model for you — you pay AxForge, we settle with the model’s maker. Ask us for a quote. Read the licence ↗