Local AI Advisor

Can MacBook Pro M5 Pro 48 GB run LFM2.5 24B-A2B?

48 GB unified · 307 GB/s memory bandwidth · LFM2.5 24B-A2B has 24B parameters (2B active per token).

Short answer

Yes, excellent for chat and comfortable or better for every workload we test.

Best quantization for chat: Q4_K_M (14 GB of weights) on LM Studio. Generation: 90–150 tok/s, leaving about 25 GB free for your other apps.

How it rates for each workload

Same model and machine, different jobs. Agents and long documents send far bigger prompts than chat, so they need much more speed and memory.

WorkloadVerdictQuantGenerationFirst replyContext
Chatwith Open WebUIExcellentQ4_K_M90–150 tok/sunder 1 s8KDetails
Coding questionswith ContinueExcellentQ4_K_M85–140 tok/s≈1 s16KDetails
Coding in a repositorywith AiderComfortableQ8_045–75 tok/s≈3 s32KDetails
Agentic codingwith OpenCodeComfortableQ8_045–75 tok/s≈4 s32KDetails
Long documents (64K)with Open WebUIExcellentQ8_035–60 tok/s≈10 s64KDetails

Speeds are bandwidth-based estimates; no direct benchmark exists for this pair. “First reply” is the time to read the workload’s opening prompt. How we calculate

Different tool, context size or workload?

These pages use typical settings. The full check models your exact setup.