Can Desktop PC · Radeon AI PRO R9700 · 64 GB RAM run MiniCPM5 2B?
32 GB VRAM + 64 GB RAM · 640 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 Lemonade. Generation: 170–230 tok/s, leaving about 27 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 | 170–230 tok/s | under 1 s | 8K | Details |
| Coding questionswith Continue | Comfortable | Q8_0 | 160–220 tok/s | under 1 s | 16K | Details |
| Coding in a repositorywith Aider | Acceptable | Q8_0 | 140–190 tok/s | ≈1 s | 32K | Details |
| Agentic codingwith OpenCode | Acceptable | Q8_0 | 130–180 tok/s | ≈2 s | 32K | Details |
| Long documents (64K)with Open WebUI | Comfortable | Q8_0 | 95–130 tok/s | ≈6 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 Desktop PC · Radeon AI PRO R9700 · 64 GB RAM
The best-rated models for chat on this machine.
- Qwen3.6 35B-A3B160–220 tok/sExcellent
- Gemma 4 26B-A4B110–150 tok/sExcellent
- LFM2.5 24B-A2B280–380 tok/sExcellent
- Qwen3.5 35B-A3B160–220 tok/sExcellent
- gpt-oss-20b170–230 tok/sExcellent
- GLM-4.7-Flash (30B-A3B)140–180 tok/sExcellent
Cheapest machines for MiniCPM5 2B
Hardware rated comfortable or better for chat, lowest price first.
- Mac mini M4 16 GB$599 · 25–35 tok/sExcellent
- Mac mini M6 16 GB$899 · 30–50 tok/sExcellent
- MacBook Air M4 16 GB$999 · 25–35 tok/sExcellent
- Mac mini M4 24 GB$999 · 25–35 tok/sExcellent
- Mac mini M2 16 GB$999 · 25–30 tok/sExcellent
- MacBook Air M5 16 GB$1,099 · 25–45 tok/sExcellent
Same chip, other memory: 32 GB
Different tool, context size or workload?
These pages use typical settings. The full check models your exact setup.