DeepSeek R1 Distill 14B needs ~14.3 GB VRAM. RTX A4000 16GB has 16.0 GB. With Q4_K_M quantization, expect ~40 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
Tight fit
Decode
39.7 tok/s
TTFT
4882 ms
Safe context
25K
Memory
14.3 GB / 16.0 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 | 39.7 tok/s | 2663 ms | 25K |
| Coding | A | Tight fit | 39.7 tok/s | 4882 ms | 25K |
| Agentic Coding | B | Runs with offload (needs ~0.6 GB host RAM) | 25.5 tok/s | 11023 ms | 25K |
| Reasoning | A | Tight fit | 39.7 tok/s | 5769 ms | 25K |
| RAG | B | Runs with offload | 23.7 tok/s | 14881 ms | 25K |
How DeepSeek R1 Distill 14B (14B params) fits at each quantization level on RTX A4000 16GB (16.0 GB usable).
| Quant | Bits | VRAM | Quality | Fit |
|---|---|---|---|---|
Q2_K | 2 | 5.5 GB | Low | A74 |
Q3_K_S | 3 | 6.9 GB | Low | A75 |
NVFP4 | 4 |
Copy-paste commands to run DeepSeek R1 Distill 14B on your machine.
Run
ollama run deepseek-r1Your hardware
| Model | Params | Grade | Decode | Capabilities |
|---|---|---|---|---|
| 14.7B | S | 37.6 tok/s | ||
| 21B | A | 35 tok/s |
Yes, RTX A4000 16GB can run DeepSeek R1 Distill 14B with a A grade (Tight fit). Expected decode speed: 39.7 tok/s.
DeepSeek R1 Distill 14B (14B parameters) requires approximately 14.3 GB of memory with Q4_K_M quantization.
The recommended quantization for DeepSeek R1 Distill 14B is Q4_K_M, which balances quality and memory efficiency.
On RTX A4000 16GB, DeepSeek R1 Distill 14B achieves approximately 39.7 tokens per second decode speed with a time-to-first-token of 4882ms using Q4_K_M quantization.
For coding workloads, DeepSeek R1 Distill 14B on RTX A4000 16GB receives a A grade with 39.7 tok/s and 25K context.
On RTX A4000 16GB, DeepSeek R1 Distill 14B can safely use up to 25K tokens of context. The model's official context limit is 33K, 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/deepseek-r1-distill-14b-on-a4000-16gb" 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 |
| A76 |
Q4_K_M | 4 | 8.5 GB | Medium | A76 |
Q5_K_M | 5 | 10.1 GB | High | A76 |
Q6_KBest for your GPU | 6 | 11.5 GB | High | A75 |
Q8_0 | 8 | 15.0 GB | Very High | F0 |
F16 | 16 | 28.7 GB | Maximum | F0 |
| 22B | A | 13.6 tok/s |
| 19B | A | 19.6 tok/s |
| 20B | B | 15.9 tok/s |