Can I run LFM2.5-24B-A2B-Uncensored-GGUF on an RTX 4090?

Yes, just

Its Q6_K file (20.9 GB) fits in the 21.6 GB an RTX 4090 can use, with room for ≈ 33K tokens of context.

Full analysis of LFM2.5-24B-A2B-Uncensored-GGUF Everything that runs on RTX 4090 Get the Q6_K file on Hugging Face

ollama run hf.co/AtomicChat/LFM2.5-24B-A2B-Uncensored-GGUF:Q6_K

Files and context on RTX 4090

Each file of LFM2.5-24B-A2B-Uncensored-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 4090	Context (16-bit)	Context (8-bit)
Q8_0	25.7 GB	Doesn't fit	—	—
Q6_K	20.9 GB	Tight	33K	66K
Q5_K_M	17.3 GB	Tight	128K	128K
Q4_K_M	15.4 GB	Fits	128K	128K
IQ4_XS	14.5 GB	Fits	128K	128K
IQ3_M	12.1 GB	Fits	128K	128K

LFM2.5-24B-A2B-Uncensored-GGUF on other hardware

Popular models that run on RTX 4090

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.