Can I run LFM2.5-24B-A2B-Turbo-Brilliance-50X-NEO-MAX-Imatrix-GGUF on an NVIDIA H100?

Yes

Its Q8_0 file (25.7 GB) fits in the 72.0 GB an NVIDIA H100 can use, with room for ≈ 128K tokens of context.

Full analysis of LFM2.5-24B-A2B-Turbo-Brilliance-50X-NEO-MAX-Imatrix-GGUF Everything that runs on NVIDIA H100 Get the Q8_0 file on Hugging Face

ollama run hf.co/DavidAU/LFM2.5-24B-A2B-Turbo-Brilliance-50X-NEO-MAX-Imatrix-GGUF:Q8_0

Files and context on NVIDIA H100

Each file of LFM2.5-24B-A2B-Turbo-Brilliance-50X-NEO-MAX-Imatrix-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.

File	Size	On NVIDIA H100	Context (16-bit)	Context (8-bit)
Q8_0	25.7 GB	Fits	128K	128K
Q6_K	20.0 GB	Fits	128K	128K
LFM2.5-24B-A2B-TBrill-NEO-Q6_K	19.7 GB	Fits	128K	128K
IQ4_XS	12.8 GB	Fits	128K	128K
IQ3_M	10.5 GB	Fits	128K	128K

LFM2.5-24B-A2B-Turbo-Brilliance-50X-NEO-MAX-Imatrix-GGUF on other hardware

Popular models that run on NVIDIA H100

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.