Local AI Advisor

Can Desktop PC · GeForce RTX 5070 · 32 GB RAM run GLM-4.5-Air (106B-A12B)?

12 GB VRAM + 32 GB RAM · 672 GB/s memory bandwidth · GLM-4.5-Air (106B-A12B) has 110.5B parameters (12B active per token).

Short answer

No. It doesn't fit in memory.

Needs ≈53 GB but only ≈35 GB of VRAM + system RAM is available after the OS and other apps.

Why it doesn’t fit

Even its smallest practical version (Q3_K_M) needs about 53 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), Desktop PC · GeForce RTX 5070 · 32 GB RAM has about 35 GB left, so it’s 19 GB short.

Ways to make it work

  • Close everything else

    Not enough on its own: with every other app closed it’s still about 16 GB short.

  • Pick a smaller model from the same family

  • Get more memory

    You’d want at least 62 GB of VRAM plus RAM in total. The machines below are the cheapest that run it comfortably.

  • Check your exact setup

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

    Check Desktop PC · GeForce RTX 5070 · 32 GB RAM

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.

Other models for Desktop PC · GeForce RTX 5070 · 32 GB RAM

The best-rated models for chat on this machine.

Everything Desktop PC · GeForce RTX 5070 · 32 GB RAM can run

Cheapest machines for GLM-4.5-Air (106B-A12B)

Hardware rated comfortable or better for chat, lowest price first.

Different tool, context size or workload?

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

Open sourceCheck my exact setup