Can I run LFM2.5-24B-A2B-Turbo-Brilliance-50X-NEO-MAX-Imatrix-GGUF on an RTX 3090?

Yes, just

Its Q6_K file (20.0 GB) fits in the 21.6 GB an RTX 3090 can use, with room for ≈ 76K tokens of context.

Full analysis of LFM2.5-24B-A2B-Turbo-Brilliance-50X-NEO-MAX-Imatrix-GGUF Everything that runs on RTX 3090 Get the Q6_K file on Hugging Face

ollama run hf.co/DavidAU/LFM2.5-24B-A2B-Turbo-Brilliance-50X-NEO-MAX-Imatrix-GGUF:Q6_K

Files and context on RTX 3090

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 RTX 3090	Context (16-bit)	Context (8-bit)
Q8_0	25.7 GB	Doesn't fit	—	—
Q6_K	20.0 GB	Tight	76K	128K
LFM2.5-24B-A2B-TBrill-NEO-Q6_K	19.7 GB	Tight	91K	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 RTX 3090

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.