Local AI Advisor

Can Mac Studio M2 Max 96 GB run LFM2.5 24B-A2B?

96 GB unified · 400 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: 140–190 tok/s, leaving about 71 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_M140–190 tok/sunder 1 s8KDetails
Coding questionswith ContinueExcellentQ8_080–110 tok/s≈2 s16KDetails
Coding in a repositorywith AiderComfortableQ8_075–100 tok/s≈7 s32KDetails
Agentic codingwith OpenCodeComfortableQ8_070–95 tok/s≈9 s32KDetails
Long documents (64K)with Open WebUIExcellentQ8_055–75 tok/s≈25 s64KDetails

Speeds are estimates calibrated against measured benchmarks on similar hardware. “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.