MacBook Pro M4 16GBBudget pick
C86.4 tok/s decode
~$599 MSRP
Can it run?
Runs well
Using Q4_K_M in Ollama
Fit status
Runs well
Decode
577.6 tok/s
TTFT
350 ms
Safe context
41K
Memory
3.9 GB / 10.0 GB
| Workload | Grade | Fit | Decode | TTFT | Context |
|---|---|---|---|---|---|
| Agentic Coding | C | Runs well | 577.6 tok/s | 488 ms | 82K |
| Chat | C | Runs well | 577.6 tok/s | 350 ms | 20K |
| Coding | C | Runs well | 577.6 tok/s | 350 ms | 41K |
| RAG | C | Runs well | 577.6 tok/s | 609 ms | 82K |
| Reasoning | C | Runs well | 577.6 tok/s | 396 ms | 41K |
How Qwen2.5 1.5B Instruct (1.5B params) fits at each quantization level on RTX 3080 10GB (10.0 GB usable).
| Quant | Bits | VRAM | Quality | Fit |
|---|---|---|---|---|
Q2_K | 2 | 0.6 GB | Low | D31 |
Q3_K_S | 3 | 0.7 GB | Low | D31 |
NVFP4 | 4 | 0.8 GB | Medium | D31 |
Q4_K_M | 4 | 0.9 GB | Medium | D31 |
Q5_K_M | 5 | 1.1 GB | High | D32 |
Q6_K | 6 | 1.2 GB | High | D32 |
Q8_0 | 8 | 1.6 GB | Very High | D33 |
F16Best for your GPU | 16 | 3.1 GB | Maximum | D36 |
Upgrade options
~$599 MSRP
~$1,999 MSRP
~$1,999 MSRP