GLM-5.3 is a 753.33B-parameter mixture-of-experts model (39B active per token). At UD-IQ1_S it needs about 217.5 GB of memory. The NVIDIA DGX Spark 128GB has 119 GB usable, so it only fits with part of the model offloaded to system RAM, which slows it down. Expect about 6.4 tokens/sec (3.0–9.8), with the first token after 1.3 s for a short prompt. This estimate is projected from the hardware specs; no benchmarks exist yet.
| Quantization | File size | Memory | Generation | First token | Source |
|---|---|---|---|---|---|
| UD-IQ1_S | 216.7 GB | Partial offload | 6.4 tok/s | 1.3 s | Projected |
| UD-Q2_K_XL | 253.9 GB | Partial offload | 5.1 tok/s | 1.3 s | Projected |
| UD-IQ3_XXS | 281.7 GB | Partial offload | 4.4 tok/s | 1.3 s | Projected |
| UD-Q3_K_XL | 343.0 GB | Doesn't fit | Won't run | — | — |
| UD-IQ4_XS | 365.3 GB | Doesn't fit | Won't run | — | — |
| UD-Q4_K_XL | 467.3 GB | Doesn't fit | Won't run | — | — |
| Q8_0 | 801.4 GB | Doesn't fit | Won't run | — | — |
| FP16 | 1508.0 GB | Doesn't fit | Won't run | — | — |
All models on the NVIDIA DGX Spark 128GB · GLM-5.3 on all hardware
Estimates for a short prompt on a single device. Measured numbers come from community benchmarks (r/LocalLLaMA, localscore.ai and more); others are derived from similar setups or projected from specs. Open source on GitHub.