Instructions to use emrevrg/AUBIN-31B-Web with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use emrevrg/AUBIN-31B-Web with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("google/gemma-4-31B-it") model = PeftModel.from_pretrained(base_model, "emrevrg/AUBIN-31B-Web") - Notebooks
- Google Colab
- Kaggle
Open, calibrated decision models that see, act and learn.
Typed decisions · computer use · real-time control · self-learning, open weights on Gemma 4.
Omni · 31B · 12B · E4B · Screen · Web · Control · Support ❤
♥ If AUBIN impresses you, press Like at the top of this page. It is the single biggest help for an independent open model.
🎬 AUBIN in 80 seconds (sound on) · Türkçe izle · vertical reel: EN / TR
Music: “Aphelion” by Scott Buckley, released under CC BY 4.0 · scottbuckley.com.au
AUBIN-31B-Web
The web-agent ability of AUBIN-31B. Given a task and a list of candidate page elements, the model chooses the next element and the operation (CLICK, TYPE or SELECT), each with a calibrated confidence. It is a LoRA adapter on Gemma-4-31B and is used by AUBIN Omni as the 31B web_step ability.
Measured result
Mind2Web, MindAct protocol, cross-domain split (websites from domains never seen in training), 200 steps:
| model | step success | element accuracy | operation F1 |
|---|---|---|---|
| AUBIN-31B-Web | 45.0 | 49.0 | 0.890 |
| AUBIN-12B-Web | 43.5 |
Training: 420 steps on the Mind2Web train split from the Gemma-4-31B base (4-bit, one free Kaggle T4 session). The step with the best score on a held-out dev split (step 300) was selected before testing. Result file: reports/w31s_test_domain.json.
Use
from aubin import AubinOmni
omni = AubinOmni.from_hub("emrevrg/AUBIN-Omni", size="31B")
omni.web_step("Book a flight from New York to Paris", {"n1": "<input placeholder='From'>", "n2": "<a>Hotels</a>"})
🎬 AUBIN filmi, Türkçe (80 sn, sesi aç) · English · Müzik: “Aphelion”, Scott Buckley, CC BY 4.0
♥ Help AUBIN get seen
On Hugging Face, likes decide what people discover. Big labs have marketing teams; AUBIN has one 17-year-old student and measured results. If AUBIN is useful, interesting or just impressive to you, press ♥ Like at the top of this page and on AUBIN-Omni, AUBIN-31B and AUBIN-12B, then share it with one person who builds with AI. Every like helps an independent, open, honestly measured model get discovered.
🇹🇷 Beğenin, AUBIN'in görünür olmasını sağlar: sayfanın üstündeki ♥ Like'a basarak destek ol ve bir arkadaşına gönder.
Support Norovox
Built by a 17-year-old high school student: no sponsor, no budget, just free GPUs and AI subscriptions paid for with difficulty. Support goes into GPU compute, training, and the AI development tools this work depends on (such as Claude); supporters are credited and get early access. zgremre@gmail.com · emrevrgdev@gmail.com · Why and how →
🇹🇷 17 yaşında bir lise öğrencisinin eseri: destekçisiz, bütçesiz; ücretsiz GPU'lar ve zorlukla ödenen yapay zekâ abonelikleriyle. Desteğin GPU'ya, eğitime ve bu işin dayandığı yapay zekâ geliştirme araçlarına (Claude gibi) gider.
Built with Claude Opus 5.5 and GPT-5.6 Sol; because of OpenAI usage limits, the final stretch was completed with Claude Opus 5.5. License: Apache-2.0 (adapters and code). Base models: Google Gemma 4 (Apache-2.0).
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