Can Mac Studio M2 Ultra 64 GB run MiniCPM5 2B?
64 GB unified · 800 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: 120–160 tok/s, leaving about 50 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 | 120–160 tok/s | under 1 s | 8K | Details |
| Coding questionswith Continue | Comfortable | Q8_0 | 110–150 tok/s | ≈2 s | 16K | Details |
| Coding in a repositorywith Aider | Acceptable | Q8_0 | 95–130 tok/s | ≈5 s | 32K | Details |
| Agentic codingwith OpenCode | Acceptable | Q8_0 | 90–120 tok/s | ≈7 s | 32K | Details |
| Long documents (64K)with Open WebUI | Comfortable | Q8_0 | 65–90 tok/s | ≈25 s | 64K | Details |
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
Other models for Mac Studio M2 Ultra 64 GB
The best-rated models for chat on this machine.
- Qwen3.6 35B-A3B100–130 tok/sExcellent
- Qwen3-Next 80B-A3B Instruct140–190 tok/sExcellent
- Gemma 4 26B-A4B80–110 tok/sExcellent
- Qwen3.5 35B-A3B100–130 tok/sExcellent
- LFM2.5 24B-A2B190–260 tok/sExcellent
- gpt-oss-20b120–160 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.