DeepSeek R1 Distill Qwen 14B needs ~21.0 GB VRAM. RTX PRO 6000 Blackwell Server Edition 96GB has 96.0 GB. With Q4_K_M quantization, expect ~157 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
157.1 tok/s
TTFT
1232 ms
Safe context
748K
Memory
21.0 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 | C | Runs well | 157.1 tok/s | 672 ms | 748K |
| Coding | C | Runs well | 157.1 tok/s | 1232 ms | 748K |
| Agentic Coding | C | Runs well | 157.1 tok/s | 1793 ms | 748K |
| Reasoning | C | Runs well | 157.1 tok/s | 1457 ms | 748K |
| RAG | C | Runs well | 157.1 tok/s | 2241 ms | 748K |
How DeepSeek R1 Distill Qwen 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 | D39 |
Q3_K_S | 3 | 6.9 GB | Low | D39 |
NVFP4 | 4 |
Copy-paste commands to run DeepSeek R1 Distill Qwen 14B on your machine.
Run
lms load hf-unsloth--deepseek-r1-distill-qwen-14b-gguf && lms server startYes, RTX PRO 6000 Blackwell Server Edition 96GB can run DeepSeek R1 Distill Qwen 14B with a C grade (Runs well). Expected decode speed: 157.1 tok/s.
DeepSeek R1 Distill Qwen 14B (14B parameters) requires approximately 21.0 GB of memory with Q4_K_M quantization.
The recommended quantization for DeepSeek R1 Distill Qwen 14B is Q4_K_M, which balances quality and memory efficiency.
On RTX PRO 6000 Blackwell Server Edition 96GB, DeepSeek R1 Distill Qwen 14B achieves approximately 157.1 tokens per second decode speed with a time-to-first-token of 1232ms using Q4_K_M quantization.
For coding workloads, DeepSeek R1 Distill Qwen 14B on RTX PRO 6000 Blackwell Server Edition 96GB receives a C grade with 157.1 tok/s and 748K context.
Paste this snippet into any page to show a live fit card.
<iframe src="https://willitrunai.com/embed/hf-unsloth--deepseek-r1-distill-qwen-14b-gguf-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>
Preview:
7.8 GB |
| Medium |
| D39 |
Q4_K_M | 4 | 8.5 GB | Medium | D39 |
Q5_K_M | 5 | 10.1 GB | High | D40 |
Q6_K | 6 | 11.5 GB | High | D40 |
Q8_0 | 8 | 15.0 GB | Very High | C40 |
F16Best for your GPU | 16 | 28.7 GB | Maximum | C42 |
On RTX PRO 6000 Blackwell Server Edition 96GB, DeepSeek R1 Distill Qwen 14B can safely use up to 748K tokens of context. The model's official context limit is —, but available memory constrains the safe maximum.