MacBook Pro M4 Max 48GBBudget pick
48 GB Unified (+16)546 GB/s (+34)
C
This setup is broadly balanced for this model.35.4 tok/s decode
~$2,499 MSRP
DeepSeek R1 Distill Qwen 14B needs ~14.3 GB VRAM. Radeon Pro W6800 32GB has 32.0 GB. With Q4_K_M quantization, expect ~34 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
33.6 tok/s
TTFT
5766 ms
Safe context
189K
Memory
14.3 GB / 32.0 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 | 33.6 tok/s | 3145 ms | 189K |
| Coding | C | Runs well | 33.6 tok/s | 5766 ms | 189K |
| Agentic Coding | C | Runs well | 33.6 tok/s | 8387 ms | 189K |
| Reasoning | C | Runs well | 33.6 tok/s | 6815 ms | 189K |
| RAG | C | Runs well | 33.6 tok/s | 10484 ms | 189K |
How DeepSeek R1 Distill Qwen 14B (14B params) fits at each quantization level on Radeon Pro W6800 32GB (32.0 GB usable).
| Quant | Bits | VRAM | Quality | Fit |
|---|---|---|---|---|
Q2_K | 2 | 5.5 GB | Low | C44 |
Q3_K_S | 3 | 6.9 GB | Low | C45 |
NVFP4 | 4 | 7.8 GB | Medium | C45 |
Q4_K_M | 4 | 8.5 GB | Medium | C45 |
Q5_K_M | 5 | 10.1 GB | High | C46 |
Q6_K | 6 | 11.5 GB | High | C47 |
Q8_0Best for your GPU | 8 | 15.0 GB | Very High | C48 |
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 startUpgrade options
~$2,499 MSRP
Raises estimated decode speed by about 62%.
Adds memory headroom for longer context windows and future model growth.
~$3,999 MSRP
Yes, Radeon Pro W6800 32GB can run DeepSeek R1 Distill Qwen 14B with a C grade (Runs well). Expected decode speed: 33.6 tok/s.
DeepSeek R1 Distill Qwen 14B (14B parameters) requires approximately 14.3 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 Radeon Pro W6800 32GB, DeepSeek R1 Distill Qwen 14B achieves approximately 33.6 tokens per second decode speed with a time-to-first-token of 5766ms using Q4_K_M quantization.
For coding workloads, DeepSeek R1 Distill Qwen 14B on Radeon Pro W6800 32GB receives a C grade with 33.6 tok/s and 189K context.
On Radeon Pro W6800 32GB, DeepSeek R1 Distill Qwen 14B can safely use up to 189K 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-radeon-pro-w6800-32gb" 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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