Our First Open-Source LLM

30B params, 3B active. 200 tasks per $1.

BU-30B-A3B-Preview benchmark

BU-30B-A3B-Preview is here.

  • 30B total parameters with only 3B active at inference time
  • 200 tasks per $1 — 4x more cost-efficient than BU 1.0

The weights are open. Browser Use Cloud does not serve this model, so run it yourself:

vllm serve browser-use/bu-30b-a3b-preview --max-model-len 65536 --host 0.0.0.0 --port 8000
from browser_use import Agent, ChatOpenAI
 
llm = ChatOpenAI(
    model="browser-use/bu-30b-a3b-preview",
    base_url="http://localhost:8000/v1",
    api_key="not-needed",
)
 
agent = Agent(task="Your task here", llm=llm)
 
result = await agent.run()

Download from Hugging Face.