What GPU do I need to run zai-org/GLM-4.6?
356.8B parameters, published in BF16. View on Hugging Face
GLM-4.6 is published by zai-org on Hugging Face, with 17,124 downloads and 1,234 likes to date. It's a Glm4MoeForCausalLM model built for text-generation, published natively in BF16.
VRAM required & cheapest live GPU fit
Required VRAM = weight size at each precision, plus a fixed overhead for KV-cache, activations, and fragmentation. Full formula and assumptions: methodology.
A GPU is only matched to a row if its hardware supports that precision, and the primary recommendation is always a single-GPU fit when one exists.
INT4 caveat: requires a quantized checkpoint actually published for this model, check its Hugging Face page before relying on this row.
Weight-to-VRAM math, the fit rules, and how live prices are normalized: full methodology.
More zai-org models
- GLM-OCR (1.3B, BF16)
- GLM-4.7-Flash (31.2B, BF16)
- GLM-5.2-FP8 (753.3B, F8_E4M3)
- GLM-5.2 (753.3B, BF16)
- GLM-5-FP8 (753.9B, F8_E4M3)
- GLM-5.3-Flash (321.3B, F8_E4M3)
