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Can I run GLM-5.3-SLIM-GGUF on an NVIDIA B300?

Yes

Its UD-IQ2_M file (180 GB) fits in the 259 GB an NVIDIA B300 can use, with room for ≈ 862K tokens of context. That file is under 3 bits per weight, so expect noticeably lower quality.

Full analysis of GLM-5.3-SLIM-GGUF Everything that runs on NVIDIA B300 Get the UD-IQ2_M file on Hugging Face
llama-server -hf Scantist/GLM-5.3-SLIM-GGUF:UD-IQ2_M

Files and context on NVIDIA B300

Each file of GLM-5.3-SLIM-GGUF (and of GGUF versions the site has analyzed), and how much context fits next to it, with the context cache in 16-bit or 8-bit.

FileSizeOn NVIDIA B300 Context (16-bit)Context (8-bit)
UD-IQ2_M180 GBFits862K1M

GLM-5.3-SLIM-GGUF on other hardware

Popular models that run on NVIDIA B300

Assumes 90% of the card's memory is usable and at least 4K tokens of context for one conversation, with the context cache in 16-bit unless noted. Fits leaves at least 20% of that memory for context; Tight leaves less.