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Yes. LFM2.5 24B-A2B (MoE) fits in fast memory on M2 Ultra 192GB at Q8_0 (26.2 GB needed, 144.0 GB usable), about 154 tok/s (estimate).
Hardware: M2 Ultra 192GB · Model: LFM2.5 24B-A2B (MoE)
M2 Ultra 192GB has 192 GB of unified memory and 800 GB/s of memory bandwidth. The checker leaves macOS a share of unified memory, so Ollama can use 144.0 GB. LFM2.5 24B-A2B (MoE) (24B, 2B active, Liquid AI) at Q8_0 is a 25 GB download and needs 26.2 GB with headroom for about 8k tokens.
| Best quant | Q8_0 |
|---|---|
| Download size | 25 GB |
| Memory needed | 26.2 GB |
| Usable fast memory | 144.0 GB |
| Fit | fits in fast memory |
| Estimated speed | ~154 tok/s (estimate) |
| Command | ollama run lfm2.5:24b-a2b-q8_0 |
Estimates, not benchmarks. Model sizes are ollama.com download sizes; memory needed adds headroom for ~8k tokens of context; speeds are rough figures from memory bandwidth. Data updated 2026-10-23.
A project by OnDevice Labs · llms.txt