Models › GLM-5.3

GLM-5.3: VRAM needs and speed by GPU

At UD-Q4_K_XL, GLM-5.3 needs about 470.3 GB of VRAM. No measured runs yet. Speeds below are estimates. Submit a run.

753.86B parameters · license: other · 1,048,576-token context · GGUF published Aug 28, 2026 · GGUF files on Hugging Face

Memory needed per quantization

QuantFile sizeNeeds (estimate)Smallest card it fits
UD-IQ1_S216.7 GB219.7 GBmulti-GPU / large unified memory
UD-IQ1_M228.5 GB231.5 GBmulti-GPU / large unified memory
UD-IQ2_M238.6 GB241.6 GBmulti-GPU / large unified memory
UD-Q2_K_XL253.9 GB256.9 GBmulti-GPU / large unified memory
UD-IQ3_XXS281.7 GB284.7 GBmulti-GPU / large unified memory
UD-Q3_K_XL343.0 GB346.0 GBmulti-GPU / large unified memory
UD-IQ4_XS365.3 GB368.3 GBmulti-GPU / large unified memory
UD-Q4_K_XL467.3 GB470.3 GBmulti-GPU / large unified memory
UD-Q5_K_XL562.5 GB565.5 GBmulti-GPU / large unified memory
UD-Q6_K_XL684.4 GB687.4 GBmulti-GPU / large unified memory
Q8_0801.4 GB804.4 GBmulti-GPU / large unified memory
BF161508.0 GB1511.0 GBmulti-GPU / large unified memory

Expected speed on popular hardware

HardwareBest quant that fitsExpected tok/s
NVIDIA RTX 3060Does not fit
NVIDIA RTX 4060 TiDoes not fit
NVIDIA RTX 3090Does not fit
NVIDIA RTX 4090Does not fit
NVIDIA RTX 5090Does not fit
AMD Radeon RX 7900 XTXDoes not fit
Apple M4 Pro (20-core GPU)Does not fit
Apple M3 Max (40-core GPU)Does not fit
AMD Ryzen AI Max+ 395 (Radeon 8060S)Does not fit

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