What GPU do I need to run dealignai/GLM-5.3-UNCENSORED-FP8?
753.3B parameters, published in F8_E4M3. View on Hugging Face
Set up GLM-5.3-UNCENSORED-FP8GLM-5.3-UNCENSORED-FP8 is published by dealignai on Hugging Face, with 207 downloads and 18 likes to date. It's a GlmMoeDsaForCausalLM model built for text-generation, published natively in F8_E4M3.
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 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 dealignai models
- GLM-5.3-Flash-UNCENSORED-FP8 (321.3B, F8_E4M3)
- GLM-5.3-Flash-ABLITERATED-FP8 (321.3B, F8_E4M3)
- Qwen3.8-Flash-Next-UNCENSORED-FP8 (180.0B, F8_E4M3)
- GLM-5.3-CYBERSECURITY-FP8 (753.3B, F8_E4M3)
- bert-base-uncased (110M, F32)
- Qwen3-0.6B (752M, BF16)
