Models › GLM-5.3-Flash
GLM-5.3-Flash: VRAM needs and speed by GPU
At UD-Q4_K_XL, GLM-5.3-Flash needs about 202.7 GB of VRAM. No measured runs yet. Speeds below are estimates. Submit a run.
320.76B parameters · license: mit · 1,048,576-token context · GGUF published Aug 26, 2026 · GGUF files on Hugging Face
Memory needed per quantization
| Quant | File size | Needs (estimate) | Smallest card it fits |
|---|---|---|---|
| UD-IQ1_S | 93.1 GB | 96.1 GB | multi-GPU / large unified memory |
| UD-IQ1_M | 97.6 GB | 100.6 GB | multi-GPU / large unified memory |
| UD-IQ2_XXS | 101.8 GB | 104.8 GB | multi-GPU / large unified memory |
| UD-Q2_K_XL | 108.7 GB | 111.7 GB | multi-GPU / large unified memory |
| UD-IQ3_XXS | 120.4 GB | 123.4 GB | multi-GPU / large unified memory |
| UD-Q3_K_XL | 147.5 GB | 150.5 GB | multi-GPU / large unified memory |
| UD-IQ4_XS | 156.8 GB | 159.8 GB | multi-GPU / large unified memory |
| UD-Q4_K_XL | 199.7 GB | 202.7 GB | multi-GPU / large unified memory |
| UD-Q5_K_XL | 240.3 GB | 243.3 GB | multi-GPU / large unified memory |
| UD-Q6_K_XL | 291.8 GB | 294.8 GB | multi-GPU / large unified memory |
| Q8_0 | 341.0 GB | 344.0 GB | multi-GPU / large unified memory |
| BF16 | 641.6 GB | 644.6 GB | multi-GPU / large unified memory |
Expected speed on popular hardware
| Hardware | Best quant that fits | Expected tok/s |
|---|---|---|
| NVIDIA RTX 3060 | Does not fit | |
| NVIDIA RTX 4060 Ti | Does not fit | |
| NVIDIA RTX 3090 | Does not fit | |
| NVIDIA RTX 4090 | Does not fit | |
| NVIDIA RTX 5090 | Does not fit | |
| AMD Radeon RX 7900 XTX | Does 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 | |
Too big for your card?
Run GLM-5.3-Flash on a rented 24-80 GB GPU by the hour.
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