DeepSeek R1 Distill Qwen 14B needs ~17.8 GB VRAM. NVIDIA A16 64GB has 64.0 GB. With Q4_K_M quantization, expect ~55 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
54.8 tok/s
TTFT
3533 ms
Safe context
467K
Memory
17.8 GB / 64.0 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 | 54.8 tok/s | 1927 ms | 467K |
| Coding | C | Runs well | 54.8 tok/s | 3533 ms | 467K |
| Agentic Coding | C | Runs well | 54.8 tok/s | 5139 ms | 467K |
| Reasoning | C | Runs well | 54.8 tok/s | 4175 ms | 467K |
| RAG | C | Runs well | 54.8 tok/s | 6423 ms | 467K |
How DeepSeek R1 Distill Qwen 14B (14B params) fits at each quantization level on NVIDIA A16 64GB (64.0 GB usable).
| Quant | Bits | VRAM | Quality | Fit |
|---|---|---|---|---|
Q2_K | 2 | 5.5 GB | Low | C41 |
Q3_K_S | 3 | 6.9 GB | Low | C41 |
NVFP4 | 4 | 7.8 GB | Medium | C41 |
Q4_K_M | 4 | 8.5 GB | Medium | C41 |
Q5_K_M | 5 | 10.1 GB | High | C41 |
Q6_K | 6 | 11.5 GB | High | C42 |
Q8_0 | 8 | 15.0 GB | Very High | C42 |
F16Best for your GPU | 16 | 28.7 GB | Maximum | C46 |
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 startOpciones de mejora
RTX PRO 6000 Blackwell Workstation Edition 96GBOpción económicaSube la velocidad estimada de decodificación alrededor de un 222%.
Añade margen de memoria para más contexto y para que el modelo envejezca mejor.
~$9,999 MSRP
RTX PRO 6000 Blackwell Server Edition 96GBMejor relación calidad-precioSube la velocidad estimada de decodificación alrededor de un 187%.
Añade margen de memoria para más contexto y para que el modelo envejezca mejor.
~$9,999 MSRP
NVIDIA H20 96GBMejora NVIDIASube la velocidad estimada de decodificación alrededor de un 258%.
Añade margen de memoria para más contexto y para que el modelo envejezca mejor.
~$12,000 MSRP
Yes, NVIDIA A16 64GB can run DeepSeek R1 Distill Qwen 14B with a C grade (Runs well). Expected decode speed: 54.8 tok/s.
DeepSeek R1 Distill Qwen 14B (14B parameters) requires approximately 17.8 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 NVIDIA A16 64GB, DeepSeek R1 Distill Qwen 14B achieves approximately 54.8 tokens per second decode speed with a time-to-first-token of 3533ms using Q4_K_M quantization.
For coding workloads, DeepSeek R1 Distill Qwen 14B on NVIDIA A16 64GB receives a C grade with 54.8 tok/s and 467K context.
On NVIDIA A16 64GB, DeepSeek R1 Distill Qwen 14B can safely use up to 467K 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-a16-64gb" width="400" height="180" frameborder="0" style="border:none;border-radius:12px;overflow:hidden;" title="Will It Run AI — fit result"></iframe>
Preview: