Qwen 2.5 14B needs ~17.6 GB VRAM. MacBook Pro M4 Pro 48GB has 34.6 GB. With Q4_K_M quantization, expect ~25 tok/s.
Operating mode
Interactive favors responsiveness, while light API and scale-out lean harder on serving readiness. The fit stays the same, but the recommendation lens changes.
Current mode
Balanced
Balanced for general local use. Keeps the ranking neutral across personal and serving workflows.
Select quantization to explore
Fit status
Runs well
Decode
23.4 tok/s
TTFT
8276 ms
Safe context
109K
Memory
17.6 GB / 34.6 GB
This setup is broadly balanced for this model.
Shared-memory contention still exists
The OS, browser, and inference runtime all compete for the same physical memory pool, so real-world headroom is less forgiving than raw capacity suggests.
| Workload | Grade | Fit | Decode | TTFT | Context |
|---|---|---|---|---|---|
| Chat | A | Runs well | 23.4 tok/s | 4514 ms | 109K |
| Coding | A | Runs well | 24.6 tok/s | 7865 ms | 109K |
| Agentic Coding | A | Runs well | 23.4 tok/s | 12037 ms | 109K |
| Reasoning | A | Runs well | 23.4 tok/s | 9780 ms | 109K |
| RAG | A | Runs well | 23.4 tok/s | 15047 ms | 109K |
How Qwen 2.5 14B (14B params) fits at each quantization level on MacBook Pro M4 Pro 48GB (34.6 GB usable).
| Quant | Bits | VRAM | Quality | Fit |
|---|---|---|---|---|
Q2_K | 2 | 5.5 GB | Low | A74 |
Q3_K_S | 3 | 6.9 GB | Low | A75 |
NVFP4 | 4 |
Copy-paste commands to run Qwen 2.5 14B on your machine.
Run
ollama run qwen2.5Your hardware
| Model | Params | Grade | Decode | Capabilities |
|---|---|---|---|---|
 Qwen3-Coder 30B A3B Instruct | 30.5B | S | 31.8 tok/s | |
| Qwen 3.5 27B | 27B | S | 22.7 tok/s |
Yes, MacBook Pro M4 Pro 48GB can run Qwen 2.5 14B with a A grade (Runs well). Expected decode speed: 24.6 tok/s.
Qwen 2.5 14B (14B parameters) requires approximately 17.6 GB of memory with Q4_K_M quantization.
The recommended quantization for Qwen 2.5 14B is Q4_K_M, which balances quality and memory efficiency.
On MacBook Pro M4 Pro 48GB, Qwen 2.5 14B achieves approximately 24.6 tokens per second decode speed with a time-to-first-token of 7865ms using Q4_K_M quantization.
For coding workloads, Qwen 2.5 14B on MacBook Pro M4 Pro 48GB receives a A grade with 24.6 tok/s and 109K context.
On MacBook Pro M4 Pro 48GB, Qwen 2.5 14B can safely use up to 109K tokens of context. The model's official context limit is 131K, but available memory constrains the safe maximum.
Paste this snippet into any page to show a live fit card.
<iframe src="https://willitrunai.com/embed/qwen-2.5-14b-on-m4-pro-48gb" width="400" height="180" frameborder="0" style="border:none;border-radius:12px;overflow:hidden;" title="Will It Run AI — fit result"></iframe>
Preview:
7.8 GB |
| Medium |
| A75 |
Q4_K_M | 4 | 8.5 GB | Medium | A75 |
Q5_K_M | 5 | 10.1 GB | High | A76 |
Q6_K | 6 | 11.5 GB | High | A77 |
Q8_0 | 8 | 15.0 GB | Very High | A78 |
F16Best for your GPU | 16 | 28.7 GB | Maximum | A79 |
| Qwen 3.6 27B | 27B | S | 17.3 tok/s |
| Qwen 3.6 35B A3B | 35B | S | 29.4 tok/s |
| Qwen3-VL 30B A3B Instruct | 30B | S | 32.9 tok/s |
Not always. MacBook Pro M4 Pro 48GB can often fit larger models thanks to unified memory, but a discrete GPU with dedicated high-bandwidth VRAM may still decode faster once the model fits. For this combination, the important distinction is capacity versus sustained throughput.