Can I run this LLM? Real file sizes, live from Hugging Face.
All models › GLM-5.3 vs Qwen3.8-27B

GLM-5.3 vs Qwen3.8-27B — hardware requirements compared (measured)

Both sides use real GGUF file sizes from Hugging Face — not params×bits formulas. Updated daily.

GLM-5.3Qwen3.8-27B
Parameters754B27B
Downloads (30d)506k6941k
Quantizations published1225
Smallest build needs261.6 GB (UD-IQ1_S)9.3 GB (UD-IQ1_S)
Recommended quant needs261.6 GB (UD-IQ1_S)13.0 GB (UD-Q2_K_XL)
Lossless build needs1.81 TB61.2 GB

Verdict: GLM-5.3 needs more memory at the recommended quant. Capability is a different question (see benchmark leaderboards) — this page answers only “which one fits my machine, and at what quality cost?”

Will it run on your GPU?

At the recommended quant, 8K context:

HardwareVRAM/RAMGLM-5.3Qwen3.8-27B
RTX 3060 12GB12 GBnono
RTX 4070 12GB12 GBnono
RTX 4090 24GB24 GBnofits
RTX 5090 32GB32 GBnofits
Mac 24GB18 GBnofits
Mac 64GB48 GBnofits

Full measured tables

GLM-5.3every quant, exact GB Qwen3.8-27Bevery quant, exact GB
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