Create README.md

README.md

@@ -0,0 +1,109 @@
+---
+pipeline_tag: image-text-to-text
+library_name: transformers
+language:
+- en
+base_model:
+- Qwen/Qwen3-VL-30B-A3B-Instruct
+tags:
+- browser_use
+---
+
+
+# BU-30B-A3B-Preview
+
+<picture>
+  <source media="(prefers-color-scheme: light)" srcset="https://github.com/user-attachments/assets/2ccdb752-22fb-41c7-8948-857fc1ad7e24"">
+  <source media="(prefers-color-scheme: dark)" srcset="https://github.com/user-attachments/assets/774a46d5-27a0-490c-b7d0-e65fcbbfa358">
+  <img alt="Shows a black Browser Use Logo in light color mode and a white one in dark color mode." src="https://github.com/user-attachments/assets/2ccdb752-22fb-41c7-8948-857fc1ad7e24"  width="full">
+</picture>
+
+Meet BU-30B-A3B-Preview — bringing SoTA Browser Use capabilities in a small model that can be hosted on a single GPU.
+
+This model is heavily trained to be used with [browser-use OSS library](https://github.com/browser-use/browser-use) and provides comprehensive browsing capabilities with superior DOM understanding and visual reasoning.
+
+## Quickstart (BU Cloud)
+
+You can directly use this model at BU Cloud. Simply
+
+1. Get your API key from [BU Cloud](https://cloud.browser-use.com/new-api-key)
+2. Set environment variable: export BROWSER_USE_API_KEY="your-key"
+3. Install the browser-use library following the instructions [here](https://github.com/browser-use/browser-use) and run
+
+```python
+from dotenv import load_dotenv
+from browser_use import Agent, ChatBrowserUse
+load_dotenv()
+
+llm = ChatBrowserUse(
+	model='browser-use/bu-30b-a3b-preview',  # BU Open Source Model!!
+)
+
+agent = Agent(
+	task='Find the number of stars of browser-use and stagehand. Tell me which one has more stars :)',
+	llm=llm,
+)
+agent.run_sync()
+```
+
+## Quickstart (vLLM)
+
+We recommend using this model with [vLLM](https://github.com/vllm-project/vllm).
+
+#### Installation
+
+Make sure to install **vllm >= 0.12.0**:
+
+```
+pip install vllm --upgrade
+```
+
+#### Serve
+
+A simple launch command is:
+
+```bash
+vllm serve browser-use/bu-30b-a3b-preview \
+  --max-model-len 32768 \
+  --host 0.0.0.0 \
+  --port 8000
+```
+
+which will create an OpenAI compatible endpoint at localhost that you can use with.
+
+```python
+from dotenv import load_dotenv
+from browser_use import Agent, ChatOpenAI
+load_dotenv()
+
+llm = ChatOpenAI(
+    base_url='http://localhost:8000/v1',
+    model='browser-use/bu-30b-a3b-preview',
+    temperature=0.6,
+    top_p=0.95,
+    dont_force_structured_output=True, # speed up by disabling structured output
+)
+
+agent = Agent(
+    task='Find the number of stars of browser-use and stagehand. Tell me which one has more stars :)',
+    llm=llm,
+)
+agent.run_sync()
+```
+
+## Model Details
+
+| Property | Value |
+|----------|-------|
+| **Base Model** | Qwen/Qwen3-VL-30B-A3B-Instruct |
+| **Parameters** | 30B total, 3B active (MoE) |
+| **Context Length** | 32,768 tokens |
+| **Architecture** | Vision-Language Model (Mixture of Experts) |
+
+## Links
+
+- 🌐 [Browser Use Cloud](https://cloud.browser-use.com)
+- 📚 [Documentation](https://docs.browser-use.com)
+- 💻 [GitHub](https://github.com/browser-use/browser-use)
+- 💬 [Discord](https://link.browser-use.com/discord)
+