Mac mini M4 64GBBudget pick
C4.4 tok/s decode
~$1,099 MSRP
Can it run?
Very compromised
Using Q4_K_M in Ollama
Fit status
Very compromised
Decode
9.7 tok/s
TTFT
19985 ms
Safe context
14K
Memory
28.1 GB / 24.0 GB
Offload
10%
| Workload | Grade | Fit | Decode | TTFT | Context |
|---|---|---|---|---|---|
| Agentic Coding | F | Too heavy | 11.1 tok/s | 25448 ms | 23K |
| Chat | D | Runs with offload | 10.5 tok/s | 10085 ms | 7K |
| Coding | D | Very compromised | 9.7 tok/s | 19985 ms | 14K |
| RAG | F | Too heavy | 11.1 tok/s | 31810 ms | 23K |
| Reasoning | D | Very compromised | 9.7 tok/s | 23618 ms | 14K |
How Qwen 2.5 Coder 32B (32B params) fits at each quantization level on NVIDIA L4 24GB (24.0 GB usable).
| Quant | Bits | VRAM | Quality | Fit |
|---|---|---|---|---|
Q2_K | 2 | 12.5 GB | Low | C41 |
Q3_K_S | 3 | 15.7 GB | Low | C43 |
NVFP4Best for your GPU |
ollama run qwen-2.5-coder-32bhuggingface-cli download qwen-2.5-coder-32bUpgrade options
~$1,099 MSRP
~$1,599 MSRP
| 4 |
17.9 GB |
| Medium |
| C44 |
Q4_K_M | 4 | 19.5 GB | Medium | C44 |
Q5_K_M | 5 | 23.0 GB | High | C44 |
Q6_K | 6 | 26.2 GB | High | F0 |
Q8_0 | 8 | 34.2 GB | Very High | F0 |
F16 | 16 | 65.6 GB | Maximum | F0 |
~$10,000 MSRP