Model Anatomy See what's inside open-weight AI models

Can I run LFM2.5-24B-A2B-Turbo-Brilliance-50X-NEO-MAX-Imatrix-GGUF on a Mac with 16 GB?

Yes, just

Its IQ3_M file (10.5 GB) fits in the 10.7 GB a Mac with 16 GB can use, with room for ≈ 7K tokens of context.

Full analysis of LFM2.5-24B-A2B-Turbo-Brilliance-50X-NEO-MAX-Imatrix-GGUF Everything that runs on Mac with 16 GB Get the IQ3_M file on Hugging Face
ollama run hf.co/DavidAU/LFM2.5-24B-A2B-Turbo-Brilliance-50X-NEO-MAX-Imatrix-GGUF:IQ3_M

Files and context on Mac with 16 GB

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.

FileSizeOn Mac with 16 GB Context (16-bit)Context (8-bit)
Q8_025.7 GBDoesn't fit——
Q6_K20.0 GBDoesn't fit——
LFM2.5-24B-A2B-TBrill-NEO-Q6_K19.7 GBDoesn't fit——
IQ4_XS12.8 GBDoesn't fit——
IQ3_M10.5 GBTight7K14K

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

Popular models that run on Mac with 16 GB

Assumes 67% of the Mac's memory is usable (macOS's default limit for the GPU; it can be raised) 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.