Sube la velocidad estimada de decodificación alrededor de un 138%.
Añade margen de memoria para más contexto y para que el modelo envejezca mejor.
~$899 MSRP
DeepSeek R1 Distill Qwen 14B needs ~12.7 GB VRAM. RX 9060 XT 16GB has 16.0 GB. With Q4_K_M quantization, expect ~24 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
23.6 tok/s
TTFT
8201 ms
Safe context
48K
Memory
12.7 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 | C | Runs well | 23.6 tok/s | 4473 ms | 48K |
| Coding | C | Runs well | 23.6 tok/s | 8201 ms | 48K |
| Agentic Coding | C | Tight fit | 23.6 tok/s | 11929 ms | 48K |
| Reasoning | C | Runs well | 23.6 tok/s | 9692 ms | 48K |
| RAG | C | Tight fit | 23.6 tok/s | 14911 ms | 48K |
How DeepSeek R1 Distill Qwen 14B (14B params) fits at each quantization level on RX 9060 XT 16GB (16.0 GB usable).
| Quant | Bits | VRAM | Quality | Fit |
|---|---|---|---|---|
Q2_K | 2 | 5.5 GB | Low | C49 |
Q3_K_S | 3 | 6.9 GB | Low | C51 |
NVFP4 | 4 | 7.8 GB | Medium | C52 |
Q4_K_M | 4 | 8.5 GB | Medium | C52 |
Q5_K_M | 5 | 10.1 GB | High | C51 |
Q6_KBest for your GPU | 6 | 11.5 GB | High | C51 |
Q8_0 | 8 | 15.0 GB | Very High | F0 |
F16 | 16 | 28.7 GB | Maximum | F0 |
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
Sube la velocidad estimada de decodificación alrededor de un 138%.
Añade margen de memoria para más contexto y para que el modelo envejezca mejor.
~$899 MSRP
Sube la velocidad estimada de decodificación alrededor de un 243%.
Añade margen de memoria para más contexto y para que el modelo envejezca mejor.
~$999 MSRP
Yes, RX 9060 XT 16GB can run DeepSeek R1 Distill Qwen 14B with a C grade (Runs well). Expected decode speed: 23.6 tok/s.
DeepSeek R1 Distill Qwen 14B (14B parameters) requires approximately 12.7 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 RX 9060 XT 16GB, DeepSeek R1 Distill Qwen 14B achieves approximately 23.6 tokens per second decode speed with a time-to-first-token of 8201ms using Q4_K_M quantization.
For coding workloads, DeepSeek R1 Distill Qwen 14B on RX 9060 XT 16GB receives a C grade with 23.6 tok/s and 48K context.
On RX 9060 XT 16GB, DeepSeek R1 Distill Qwen 14B can safely use up to 48K 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-rx-9060-xt-16gb" 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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