Can MacBook Pro M5 Pro 24 GB run LFM2.5 24B-A2B?
24 GB unified · 307 GB/s memory bandwidth · LFM2.5 24B-A2B has 24B parameters (2B active per token).
Short answer
Yes, comfortable for chat; borderline for coding questions.
Best quantization for chat: Q4_K_M (14 GB of weights) on LM Studio. Generation: 90–150 tok/s, leaving about 1.8 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.
| Workload | Verdict | Quant | Generation | First reply | Context | |
|---|---|---|---|---|---|---|
| Chatwith Open WebUI | Comfortable | Q4_K_M | 90–150 tok/s | under 1 s | 8K | Details |
| Coding questionswith Continue | Borderline | Q4_K_M | 85–140 tok/s | ≈1 s | 16K | Details |
| Coding in a repositorywith Aider | Borderline | Q4_K_M | 75–120 tok/s | ≈3 s | 32K | Details |
| Agentic codingwith OpenCode | Borderline | Q4_K_M | 70–110 tok/s | ≈4 s | 32K | Details |
| Long documents (64K)with Open WebUI | Borderline | Q4_K_M | 50–85 tok/s | ≈10 s | 64K | Details |
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
Other models for MacBook Pro M5 Pro 24 GB
The best-rated models for chat on this machine.
- gpt-oss-20b55–90 tok/sExcellent
- MiniCPM5 2B55–90 tok/sExcellent
- Qwen3.5 4B40–65 tok/sExcellent
- Qwen3.5 9B19–30 tok/sExcellent
- Gemma 4 12B20–35 tok/sExcellent
- GLM-4.6V-Flash (10B)25–45 tok/sExcellent
Cheapest machines for LFM2.5 24B-A2B
Hardware rated comfortable or better for chat, lowest price first.
- Mac mini M4 24 GB$999 · 45–60 tok/sComfortable
- Mac mini M6 24 GB$1,299 · 50–85 tok/sComfortable
- Laptop · Ryzen AI 9 HX 370 (Radeon 890M) · 32 GB$1,300 · 35–60 tok/sExcellent
- Laptop · Core Ultra 7 258V (Arc 140V) · 32 GB$1,300 · 30–50 tok/sExcellent
- Mac mini M4 32 GB$1,399 · 45–60 tok/sExcellent
- MacBook Air M4 24 GB$1,399 · 45–60 tok/sComfortable
Different tool, context size or workload?
These pages use typical settings. The full check models your exact setup.