Local AI Advisor

Can Desktop PC · GeForce RTX 4090 · 64 GB RAM run GLM-5.3-Flash (320B-A18B)?

24 GB VRAM + 64 GB RAM · 1008 GB/s memory bandwidth · GLM-5.3-Flash (320B-A18B) has 320B parameters (18B active per token).

Short answer

No. It doesn't fit in memory.

Needs ≈148 GB but only ≈75 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 148 GB for the model, its context memory and the runtime. After Windows (≈7.7 GB), a browser with a few tabs (≈3.0 GB) and Open WebUI (≈1.0 GB), Desktop PC · GeForce RTX 4090 · 64 GB RAM has about 75 GB left, so it’s 73 GB short.

Ways to make it work

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.