Can Desktop PC · Radeon RX 7900 XT · 32 GB RAM run GLM-4.5-Air (106B-A12B)?

Q: Can Desktop PC · Radeon RX 7900 XT · 32 GB RAM run GLM-4.5-Air (106B-A12B)?

No. It doesn't fit in memory. Rated by Local AI Advisor's engine at Q3_K_M.

20 GB VRAM + 32 GB RAM · 800 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 ≈43 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 · Radeon RX 7900 XT · 32 GB RAM has about 43 GB left, so it’s 11 GB short.

Ways to make it work

Close everything else
Not enough on its own: with every other app closed it’s still about 7.6 GB short.
Pick a smaller model from the same family
- GLM-4.7-Flash (30B-A3B) Excellent
- GLM-4.6V-Flash (10B) Excellent
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 · Radeon RX 7900 XT · 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 · Radeon RX 7900 XT · 32 GB RAM

The best-rated models for chat on this machine.

Everything Desktop PC · Radeon RX 7900 XT · 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