Local AI Advisor

Can Desktop PC · Radeon AI PRO R9700 · 32 GB RAM run GLM-5.3 (753B-A40B)?

32 GB VRAM + 32 GB RAM · 640 GB/s memory bandwidth · GLM-5.3 (753B-A40B) has 753B parameters (40B active per token).

Short answer

No. It doesn't fit in memory.

Needs ≈348 GB but only ≈55 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 348 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 AI PRO R9700 · 32 GB RAM has about 55 GB left, so it’s 294 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.