Can I run LFM2.5-24B-A2B-MLX-4bit on a Radeon RX 7900 XTX?

Yes

Its published weights (13.6 GB) fit in the 21.6 GB a Radeon RX 7900 XTX can use, with room for ≈ 128K tokens of context.

Full analysis of LFM2.5-24B-A2B-MLX-4bit Everything that runs on Radeon RX 7900 XTX Get the weights on Hugging Face

hf download LiquidAI/LFM2.5-24B-A2B-MLX-4bit

Files and context on Radeon RX 7900 XTX

Each file of LFM2.5-24B-A2B-MLX-4bit (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 Radeon RX 7900 XTX	Context (16-bit)	Context (8-bit)
As published	13.6 GB	Fits	128K	128K

LFM2.5-24B-A2B-MLX-4bit on other hardware

NVIDIA H100Yes
RTX 5090Yes
RTX 4090Yes
RTX 3090Yes
RTX 5060 Ti 16 GBYes, just
RTX 3060 12 GBNo
RTX 4060No
Radeon RX 7900 XTXYes
Mac with 32 GBYes
Mac with 64 GBYes
Mac with 128 GBYes

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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.