Adds memory headroom for longer context windows and future model growth.
~$329 MSRP
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DeepSeek R1 Distill Qwen 14B needs ~12.3 GB VRAM. Radeon RX 6850M XT 12GB has 12.0 GB. With Q4_K_M quantization, expect ~20 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
0.3 GB over capacity — needs offload or smaller quantization
Fit status
Runs with offload (needs ~0.2 GB host RAM)
Decode
20.2 tok/s
TTFT
9567 ms
Safe context
13K
Memory
12.3 GB / 12.0 GB
This setup is broadly balanced for this model.
Very little memory headroom
You can run the model, but there is not much room left for longer context, bigger batches, extra apps, or future model updates.
Buy headroom, not only minimum fit
A slightly larger memory tier gives you safer context growth and makes the recommendation more future-proof.
| Workload | Grade | Fit | Decode | TTFT | Context |
|---|---|---|---|---|---|
| Chat | C | Runs with offload | 28.3 tok/s | 3728 ms | 13K |
| Coding | C | Runs with offload | 20.2 tok/s | 9567 ms | 13K |
| Agentic Coding | D | Very compromised (needs ~1.2 GB host RAM) | 15.5 tok/s | 18119 ms | 13K |
| Reasoning | C | Runs with offload (needs ~0.2 GB host RAM) | 20.2 tok/s | 11306 ms | 13K |
| RAG | D | Very compromised (needs ~1.2 GB host RAM) | 15.5 tok/s | 22648 ms |
How DeepSeek R1 Distill Qwen 14B (14B params) fits at each quantization level on Radeon RX 6850M XT 12GB (12.0 GB usable).
| Quant | Bits | VRAM | Quality | Fit |
|---|---|---|---|---|
Q2_K | 2 | 5.5 GB | Low | C53 |
Q3_K_S | 3 | 6.9 GB | Low | C52 |
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 startUpgrade options
Adds memory headroom for longer context windows and future model growth.
~$329 MSRP
Adds memory headroom for longer context windows and future model growth.
~$349 MSRP
Raises estimated decode speed by about 130%.
Adds memory headroom for longer context windows and future model growth.
~$479 MSRP
| 13K |
7.8 GB |
| Medium |
| C52 |
Q4_K_MBest for your GPU | 4 | 8.5 GB | Medium | C52 |
Q5_K_M | 5 | 10.1 GB | High | F0 |
Q6_K | 6 | 11.5 GB | High | F0 |
Q8_0 | 8 | 15.0 GB | Very High | F0 |
F16 | 16 | 28.7 GB | Maximum | F0 |