Qwen 2.5 14B needs ~22.3 GB VRAM. RTX PRO 6000 Blackwell Server Edition 96GB has 96.0 GB. With Q4_K_M quantization, expect ~170 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
169.6 tok/s
TTFT
1141 ms
Safe context
131K
Memory
22.3 GB / 96.0 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 | 169.6 tok/s | 622 ms | 131K |
| Coding | A | Runs well | 169.6 tok/s | 1141 ms | 131K |
| Agentic Coding | A | Runs well | 169.6 tok/s | 1660 ms | 131K |
| Reasoning | A | Runs well | 169.6 tok/s | 1349 ms | 131K |
| RAG | A | Runs well | 169.6 tok/s | 2075 ms | 131K |
How Qwen 2.5 14B (14B params) fits at each quantization level on RTX PRO 6000 Blackwell Server Edition 96GB (96.0 GB usable).
| Quant | Bits | VRAM | Quality | Fit |
|---|---|---|---|---|
Q2_K | 2 | 5.5 GB | Low | B70 |
Q3_K_S | 3 | 6.9 GB | Low | B70 |
NVFP4 | 4 | 7.8 GB | Medium | A70 |
Q4_K_M | 4 | 8.5 GB | Medium | A70 |
Q5_K_M | 5 | 10.1 GB | High | A70 |
Q6_K | 6 | 11.5 GB | High | A70 |
Q8_0 | 8 | 15.0 GB | Very High | A71 |
F16Best for your GPU | 16 | 28.7 GB | Maximum | A73 |
Copy-paste commands to run Qwen 2.5 14B on your machine.
Run
ollama run qwen2.5Your hardware
| Model | Params | Grade | Decode | Capabilities |
|---|---|---|---|---|
 Devstral 2 123B Instruct | 123B | S | 19.4 tok/s | |
 Qwen3-Coder 30B A3B Instruct | 30.5B | S | 202.8 tok/s | |
| Qwen 3.5 27B | 27B | S | 88 tok/s | |
| Qwen 3.6 27B | 27B | S | 88.2 tok/s | |
| Qwen 3.5 122B A10B | 122B | S | 53.9 tok/s |
Yes, RTX PRO 6000 Blackwell Server Edition 96GB can run Qwen 2.5 14B with a A grade (Runs well). Expected decode speed: 169.6 tok/s.
Qwen 2.5 14B (14B parameters) requires approximately 22.3 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 6000 Blackwell Server Edition 96GB, Qwen 2.5 14B achieves approximately 169.6 tokens per second decode speed with a time-to-first-token of 1141ms using Q4_K_M quantization.
For coding workloads, Qwen 2.5 14B on RTX PRO 6000 Blackwell Server Edition 96GB receives a A grade with 169.6 tok/s and 131K context.
On RTX PRO 6000 Blackwell Server Edition 96GB, 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-6000-blackwell-server-96gb" width="400" height="180" frameborder="0" style="border:none;border-radius:12px;overflow:hidden;" title="Will It Run AI — fit result"></iframe>
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