DeepSeek R1 Distill Qwen 14B needs ~16.2 GB VRAM. Quadro RTX 8000 48GB has 48.0 GB. With Q4_K_M quantization, expect ~54 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
54.3 tok/s
TTFT
3566 ms
Safe context
326K
Memory
16.2 GB / 48.0 GB
This setup is broadly balanced for this model.
Older PCIe generation
PCIe 3.0 is workable, but it compounds the penalty when you offload heavily or try to scale across multiple cards.
| Workload | Grade | Fit | Decode | TTFT | Context |
|---|---|---|---|---|---|
| Chat | C | Runs well | 54.3 tok/s | 1945 ms | 326K |
| Coding | C | Runs well | 54.3 tok/s | 3566 ms | 326K |
| Agentic Coding | C | Runs well | 54.3 tok/s | 5186 ms | 326K |
| Reasoning | C | Runs well | 54.3 tok/s | 4214 ms | 326K |
| RAG | C | Runs well | 54.3 tok/s | 6483 ms | 326K |
How DeepSeek R1 Distill Qwen 14B (14B params) fits at each quantization level on Quadro RTX 8000 48GB (48.0 GB usable).
| Quant | Bits | VRAM | Quality | Fit |
|---|---|---|---|---|
Q2_K | 2 | 5.5 GB | Low | C42 |
Q3_K_S | 3 | 6.9 GB | Low | C42 |
NVFP4 | 4 | 7.8 GB | Medium | C42 |
Q4_K_M | 4 | 8.5 GB | Medium | C43 |
Q5_K_M | 5 | 10.1 GB | High | C43 |
Q6_K | 6 | 11.5 GB | High | C43 |
Q8_0 | 8 | 15.0 GB | Very High | C44 |
F16Best for your GPU | 16 | 28.7 GB | Maximum | C48 |
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 startUpgrade-Optionen
Adds memory headroom for longer context windows and future model growth.
ca. $3,999 MSRP
Raises estimated decode speed by about 140%.
Adds memory headroom for longer context windows and future model growth.
ca. $10,000 MSRP
Yes, Quadro RTX 8000 48GB can run DeepSeek R1 Distill Qwen 14B with a C grade (Runs well). Expected decode speed: 54.3 tok/s.
DeepSeek R1 Distill Qwen 14B (14B parameters) requires approximately 16.2 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 Quadro RTX 8000 48GB, DeepSeek R1 Distill Qwen 14B achieves approximately 54.3 tokens per second decode speed with a time-to-first-token of 3566ms using Q4_K_M quantization.
For coding workloads, DeepSeek R1 Distill Qwen 14B on Quadro RTX 8000 48GB receives a C grade with 54.3 tok/s and 326K context.
On Quadro RTX 8000 48GB, DeepSeek R1 Distill Qwen 14B can safely use up to 326K tokens of context. The model's official context limit is —, 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/hf-unsloth--deepseek-r1-distill-qwen-14b-gguf-on-quadro-rtx-8000-48gb" width="400" height="180" frameborder="0" style="border:none;border-radius:12px;overflow:hidden;" title="Will It Run AI — fit result"></iframe>
Preview: