Fara-7B: An efficient agentic model for computer use

Fara-7B: An Efficient Agentic Model for Computer Use

Overview

Fara-7B is Microsoft's first agentic small language model (SLM) designed specifically for computer use. With only 7 billion parameters, Fara-7B is an ultra-compact Computer Use Agent (CUA) that achieves state-of-the-art performance within its size class and is competitive with larger, more resource-intensive agentic systems.

Try Fara-7B locally as follows (see Installation for detailed instructions):

# 1. Clone repository git clone https://github.com/microsoft/fara.git cd fara # 2. Setup environment python3 -m venv .venv source .venv/bin/activate pip install -e . playwright install

Then in one process, host the model:

vllm serve " microsoft/Fara-7B " --port 5000 --dtype auto

Then you can iterative query it with:

fara-cli --task " whats the weather in new york now "

Hint: might need to do --tensor-parallel-size 2 with vllm command if you run out of memory

... continue reading