MacBook Pro M4 Max 48GB经济之选
48 GB Unified (+16)
C
This setup is broadly balanced for this model.35.4 tok/s 解码
~$2,499 MSRP
Can DeepSeek R1 Distill Qwen 14B run on Radeon Pro W7800 32GB?
YES — Runs Great
C49Usable
Estimated from fit model
DeepSeek R1 Distill Qwen 14B needs ~14.3 GB VRAM. Radeon Pro W7800 32GB has 32.0 GB. With Q4_K_M quantization, expect ~40 tok/s.
Runtime: llama.cppCapacity: RoomyBandwidth: MediumStack: StandardBottleneck: Balanced
Operating mode
Choose the run profile you care about
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
Q4_K_M (Medium quality) — 14.3 GB, 39.8 tok/s, Runs well
14.3 GB required32.0 GB available
45% VRAM used
Fit status
Runs well
Decode
39.8 tok/s
TTFT
4865 ms
Safe context
189K
Memory
14.3 GB / 32.0 GB
Memory breakdown
Weights8.5 GB
KV Cache1.6 GB
Runtime0.9 GB
Headroom3.2 GB
See how fast it feels
See how fast it feelsDeepSeek R1 Distill Qwen 14B on Radeon Pro W7800 32GB
1st promptCold start — includes initialization
>Solve: If a train travels at 60 mph for 2.5 hours, how far does it go?
Let me work through this step by step.
Given information:
- Speed = 60 mph (miles per hour)
- Time = 2.5 hours
Formula: Distance = Speed x Time
Calculation:
Distance = 60 mph x 2.5 h
= 150 miles
The train travels 150 miles.
Double-check: at 60 mph the train covers 60 miles each hour. In half an hour it covers 30 miles. So in 2.5 hours: 60 + 60 + 30 = 150 miles. Confirmed.
2nd promptWarm — model ready, no init overhead
>What if the train stops for 20 minutes halfway?
The stop doesn't change the total distance covered while moving, but it affects total trip time.
Breakdown:
- First half: 1.25 hours at 60 mph = 75 miles
- Stop: 20 minutes (no distance)
- Second half: 1.25 hours at 60 mph = 75 miles
Total distance: 150 miles (same)
Total time: 2.5 h + 0.33 h = 2.83 hours
Average speed: 150 / 2.83 = 53 mph
The distance stays the same but average speed drops to 53 mph because of the stop.
Estimated: 39.8 tok/s decode · 4.9s TTFT (warm) · 100 tok/s prefill
What limits this setup
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.
Best improvement path
Performance by workload
| Workload | Grade | Fit | Decode | TTFT | Context |
|---|---|---|---|---|---|
| Chat | C | Runs well | 39.8 tok/s | 2654 ms | 189K |
| Coding | C | Runs well | 39.8 tok/s | 4865 ms | 189K |
| Agentic Coding | C | Runs well | 39.8 tok/s | 7076 ms | 189K |
| Reasoning | C | Runs well | 39.8 tok/s | 5750 ms | 189K |
| RAG | C | Runs well | 39.8 tok/s | 8846 ms | 189K |
Quantization options
How DeepSeek R1 Distill Qwen 14B (14B params) fits at each quantization level on Radeon Pro W7800 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 |
Get started
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 start升级选项
能流畅运行 DeepSeek R1 Distill Qwen 14B 的硬件
Frequently asked questions
Can Radeon Pro W7800 32GB run DeepSeek R1 Distill Qwen 14B?
Yes, Radeon Pro W7800 32GB can run DeepSeek R1 Distill Qwen 14B with a C grade (Runs well). Expected decode speed: 39.8 tok/s.
How much VRAM does DeepSeek R1 Distill Qwen 14B need?
DeepSeek R1 Distill Qwen 14B (14B parameters) requires approximately 14.3 GB of memory with Q4_K_M quantization.
What is the best quantization for DeepSeek R1 Distill Qwen 14B?
The recommended quantization for DeepSeek R1 Distill Qwen 14B is Q4_K_M, which balances quality and memory efficiency.
What speed will DeepSeek R1 Distill Qwen 14B run at on Radeon Pro W7800 32GB?
On Radeon Pro W7800 32GB, DeepSeek R1 Distill Qwen 14B achieves approximately 39.8 tokens per second decode speed with a time-to-first-token of 4865ms using Q4_K_M quantization.
Can Radeon Pro W7800 32GB run DeepSeek R1 Distill Qwen 14B for coding?
For coding workloads, DeepSeek R1 Distill Qwen 14B on Radeon Pro W7800 32GB receives a C grade with 39.8 tok/s and 189K context.
What context window can DeepSeek R1 Distill Qwen 14B use on Radeon Pro W7800 32GB?
On Radeon Pro W7800 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.
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