Qwen 2.5 14B needs ~17.5 GB VRAM. RTX PRO 5000 Blackwell 48GB has 48.0 GB. With Q4_K_M quantization, expect ~143 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
142.8 tok/s
TTFT
1356 ms
Safe context
131K
Memory
17.5 GB / 48.0 GB
This setup is broadly balanced for this model.
No major red flags
This recommendation has enough memory headroom and acceptable estimated speed for the selected workload.
| Workload | Grade | Fit | Decode | TTFT | Context |
|---|---|---|---|---|---|
| Chat | A | Runs well | 142.8 tok/s | 740 ms | 131K |
| Coding | A | Runs well | 142.8 tok/s | 1356 ms | 131K |
| Agentic Coding | A | Runs well | 142.8 tok/s | 1972 ms | 131K |
| Reasoning | A | Runs well | 142.8 tok/s | 1603 ms | 131K |
| RAG | A | Runs well | 142.8 tok/s | 2465 ms | 131K |
How Qwen 2.5 14B (14B params) fits at each quantization level on RTX PRO 5000 Blackwell 48GB (48.0 GB usable).
| Quant | Bits | VRAM | Quality | Fit |
|---|---|---|---|---|
Q2_K | 2 | 5.5 GB | Low | A73 |
Q3_K_S | 3 | 6.9 GB | Low | A73 |
NVFP4 | 4 | 7.8 GB | Medium | A73 |
Q4_K_M | 4 | 8.5 GB | Medium | A73 |
Q5_K_M | 5 | 10.1 GB | High | A74 |
Q6_K | 6 | 11.5 GB | High | A74 |
Q8_0 | 8 | 15.0 GB | Very High | A75 |
F16Best for your GPU | 16 | 28.7 GB | Maximum | A79 |
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 | 170.7 tok/s | |
| Qwen 3.5 27B | 27B | S | 74 tok/s | |
| Qwen 3.6 27B | 27B | S | 74.3 tok/s | |
| Qwen 3.6 35B A3B | 35B | S | 143.5 tok/s | |
| Qwen3-VL 30B A3B Instruct | 30B | S | 176.6 tok/s |
Yes, RTX PRO 5000 Blackwell 48GB can run Qwen 2.5 14B with a A grade (Runs well). Expected decode speed: 142.8 tok/s.
Qwen 2.5 14B (14B parameters) requires approximately 17.5 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 RTX PRO 5000 Blackwell 48GB, Qwen 2.5 14B achieves approximately 142.8 tokens per second decode speed with a time-to-first-token of 1356ms using Q4_K_M quantization.
For coding workloads, Qwen 2.5 14B on RTX PRO 5000 Blackwell 48GB receives a A grade with 142.8 tok/s and 131K context.
On RTX PRO 5000 Blackwell 48GB, Qwen 2.5 14B can safely use up to 131K 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-rtx-pro-5000-blackwell-48gb" width="400" height="180" frameborder="0" style="border:none;border-radius:12px;overflow:hidden;" title="Will It Run AI — fit result"></iframe>
Preview: