Can Mac Studio M5 Max 128 GB run MiniCPM5 2B?
128 GB unified · 614 GB/s memory bandwidth · MiniCPM5 2B has 2.5B parameters.
Short answer
Yes, excellent for chat and acceptable or better for every workload we test.
Best quantization for chat: Q8_0 (2.5 GB of weights) on LM Studio. Generation: 110–180 tok/s, leaving about 114 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 | Excellent | Q8_0 | 110–180 tok/s | under 1 s | 8K | Details |
| Coding questionswith Continue | Comfortable | Q8_0 | 100–170 tok/s | under 1 s | 16K | Details |
| Coding in a repositorywith Aider | Acceptable | Q8_0 | 90–150 tok/s | ≈2 s | 32K | Details |
| Agentic codingwith OpenCode | Acceptable | Q8_0 | 85–140 tok/s | ≈3 s | 32K | Details |
| Long documents (64K)with Open WebUI | Comfortable | Q8_0 | 60–100 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 Mac Studio M5 Max 128 GB
The best-rated models for chat on this machine.
- gpt-oss-120b80–130 tok/sExcellent
- Qwen3.6 35B-A3B90–150 tok/sExcellent
- Qwen3-Next 80B-A3B Instruct90–150 tok/sExcellent
- Gemma 4 26B-A4B70–120 tok/sExcellent
- Qwen3.5 35B-A3B90–150 tok/sExcellent
- LFM2.5 24B-A2B180–300 tok/sExcellent
Cheapest machines for MiniCPM5 2B
Hardware rated comfortable or better for chat, lowest price first.
Different tool, context size or workload?
These pages use typical settings. The full check models your exact setup.