Hardware requirements for running offline AI agents (llama-server) in RTILA X?

AI Agents & Local LLMs
1

I really want to use the local LLM feature for privacy, but I’m just running a standard M2 MacBook Air with 16GB of RAM.

Will running a local AI model alongside a headless browser completely melt my computer?

2

Not at all! Your M2 Mac is actually a fantastic machine for this.

Because we use GGUF format models, they are highly quantized (compressed) to run efficiently on consumer hardware. A 7B or 8B parameter model (like Llama 3 8B or Qwen) usually only needs about 4GB to 6GB of RAM.

Plus, we give you full control over the hardware allocation. In the AI settings, you can adjust the number of CPU threads, the batch size, and the context window size. If you find your fan spinning up too much, just lower the thread count. The sidecar architecture ensures that even if the LLM is maxing out its allocated cores, your RTILA X UI and the browser automation engine will remain perfectly responsive.

1 Like