RTX PRO 5000 Blackwell 48GBコスパ重視1344 GB/s (+798)
C
Raises estimated decode speed by about 273%.132.2 tok/sデコード
Raises estimated decode speed by about 273%.
Adds memory headroom for longer context windows and future model growth.
〜$4,999 MSRP
Can DeepSeek R1 Distill Qwen 14B run on MacBook Pro M4 Max 48GB?
YES — Runs Great
C49Usable
Estimated from fit model
DeepSeek R1 Distill Qwen 14B needs ~16.3 GB VRAM. MacBook Pro M4 Max 48GB has 34.6 GB. With Q4_K_M quantization, expect ~35 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) — 16.3 GB, 35.4 tok/s, Runs well
16.3 GB required34.6 GB available
47% VRAM used
Fit status
Runs well
Decode
35.4 tok/s
TTFT
5462 ms
Safe context
194K
Memory
16.3 GB / 34.6 GB
Memory breakdown
Weights8.5 GB
KV Cache1.6 GB
Runtime0.9 GB
Headroom5.2 GB
See how fast it feels
See how fast it feelsDeepSeek R1 Distill Qwen 14B on MacBook Pro M4 Max 48GB
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: 35.4 tok/s decode · 5.5s TTFT (warm) · 89 tok/s prefill
What limits this setup
This setup is broadly balanced for this model.
Shared-memory contention still exists
The OS, browser, and inference runtime all compete for the same physical memory pool, so real-world headroom is less forgiving than raw capacity suggests.
Best improvement path
Performance by workload
| Workload | Grade | Fit | Decode | TTFT | Context |
|---|---|---|---|---|---|
| Chat | C | Runs well | 35.4 tok/s | 2979 ms | 194K |
| Coding | C | Runs well | 35.4 tok/s | 5462 ms | 194K |
| Agentic Coding | C | Runs well | 35.4 tok/s | 7945 ms | 194K |
| Reasoning | C | Runs well | 35.4 tok/s | 6455 ms | 194K |
| RAG | C | Runs well | 35.4 tok/s | 9931 ms | 194K |
Quantization options
How DeepSeek R1 Distill Qwen 14B (14B params) fits at each quantization level on MacBook Pro M4 Max 48GB (34.6 GB usable).
| Quant | Bits | VRAM | Quality | Fit |
|---|---|---|---|---|
Q2_K | 2 | 5.5 GB | Low | C44 |
Q3_K_S | 3 | 6.9 GB | Low | C44 |
NVFP4 | 4 | 7.8 GB | Medium | C44 |
Q4_K_M | 4 | 8.5 GB | Medium | C45 |
Q5_K_M | 5 | 10.1 GB | High | C45 |
Q6_K | 6 | 11.5 GB | High | C46 |
Q8_0 | 8 | 15.0 GB | Very High | C47 |
F16Best for your GPU | 16 | 28.7 GB | Maximum | C48 |
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アップグレードオプション
DeepSeek R1 Distill Qwen 14Bを快適に動かすハードウェア
Frequently asked questions
Can MacBook Pro M4 Max 48GB run DeepSeek R1 Distill Qwen 14B?
Yes, MacBook Pro M4 Max 48GB can run DeepSeek R1 Distill Qwen 14B with a C grade (Runs well). Expected decode speed: 35.4 tok/s.
How much VRAM does DeepSeek R1 Distill Qwen 14B need?
DeepSeek R1 Distill Qwen 14B (14B parameters) requires approximately 16.3 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 MacBook Pro M4 Max 48GB?
On MacBook Pro M4 Max 48GB, DeepSeek R1 Distill Qwen 14B achieves approximately 35.4 tokens per second decode speed with a time-to-first-token of 5462ms using Q4_K_M quantization.
Can MacBook Pro M4 Max 48GB run DeepSeek R1 Distill Qwen 14B for coding?
For coding workloads, DeepSeek R1 Distill Qwen 14B on MacBook Pro M4 Max 48GB receives a C grade with 35.4 tok/s and 194K context.
What context window can DeepSeek R1 Distill Qwen 14B use on MacBook Pro M4 Max 48GB?
On MacBook Pro M4 Max 48GB, DeepSeek R1 Distill Qwen 14B can safely use up to 194K tokens of context. The model's official context limit is —, but available memory constrains the safe maximum.
Is unified memory on MacBook Pro M4 Max 48GB as fast as VRAM for DeepSeek R1 Distill Qwen 14B?
Not always. MacBook Pro M4 Max 48GB can often fit larger models thanks to unified memory, but a discrete GPU with dedicated high-bandwidth VRAM may still decode faster once the model fits. For this combination, the important distinction is capacity versus sustained throughput.
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