Local AI Advisor

Can Surface Laptop Ultra · RTX Spark N1X (18-core) · 24 GB run Llama 4 Scout (109B-A17B)?

24 GB unified · 300 GB/s memory bandwidth · Llama 4 Scout (109B-A17B) has 108.6B parameters (17B active per token).

Short answer

No. It doesn't fit in memory.

Needs ≈52 GB but only ≈16 GB is available after the OS, other apps and Open WebUI.

Why it doesn’t fit

Even its smallest practical version (Q3_K_M) needs about 52 GB for the model, its context memory and the runtime. After Windows (≈4.5 GB), a browser with a few tabs (≈3.0 GB) and Open WebUI (≈1.0 GB), Surface Laptop Ultra · RTX Spark N1X (18-core) · 24 GB has about 16 GB left, so it’s 37 GB short.

Ways to make it work

  • Close everything else

    Not enough on its own: with every other app closed it’s still about 34 GB short.

  • Pick a smaller model from the same family

    No smaller Llama 4 model in our catalog runs well here. See the other models below.

  • Get more memory

    The same machine with 128 GB handles it: Comfortable.

  • Check your exact setup

    These pages assume typical settings. A shorter context or a lighter chat app can change the answer.

    Check Surface Laptop Ultra · RTX Spark N1X (18-core) · 24 GB

The same applies to every workload we rate (chat, coding questions, coding in a repository, agentic coding and long documents): they all need at least as much memory as chat.

Different tool, context size or workload?

These pages use typical settings. The full check models your exact setup.

Open weights (restricted)Check my exact setup