MacBook Pro M3 Pro 18GBコスパ重視
18 GB Unified (+2)
B
This setup is broadly balanced for this model.24.1 tok/sデコード
〜$1,999 MSRP
Can DeepSeek R1 Distill 8B run on MacBook Pro M1 Pro 16GB?
YES — Tight Fit
B67Good
Estimated from fit model
DeepSeek R1 Distill 8B needs ~9.5 GB VRAM. MacBook Pro M1 Pro 16GB has 11.5 GB. With Q4_K_M quantization, expect ~29 tok/s.
Runtime: llama.cppCapacity: TightBandwidth: Very lowStack: StandardBottleneck: Memory bandwidth
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) — 9.5 GB, 28.6 tok/s, Tight fit
9.5 GB required11.5 GB available
83% VRAM used
Fit status
Tight fit
Decode
28.6 tok/s
TTFT
6760 ms
Safe context
33K
Memory
9.5 GB / 11.5 GB
Memory breakdown
Weights4.9 GB
KV Cache2.0 GB
Runtime0.9 GB
Headroom1.7 GB
See how fast it feels
See how fast it feelsDeepSeek R1 Distill 8B on MacBook Pro M1 Pro 16GB
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: 28.6 tok/s decode · 6.8s TTFT (warm) · 72 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 | B | Runs well | 28.6 tok/s | 3687 ms | 33K |
| Coding | B | Tight fit | 28.6 tok/s | 6760 ms | 33K |
| Agentic Coding | B | Runs with offload | 28.6 tok/s | 9833 ms | 33K |
| Reasoning | B | Tight fit | 28.6 tok/s | 7990 ms | 33K |
| RAG | B | Runs with offload | 28.6 tok/s | 12292 ms | 33K |
Quantization options
How DeepSeek R1 Distill 8B (8B params) fits at each quantization level on MacBook Pro M1 Pro 16GB (11.5 GB usable).
| Quant | Bits | VRAM | Quality | Fit |
|---|---|---|---|---|
Q2_K | 2 | 3.1 GB | Low | B66 |
Q3_K_S | 3 | 3.9 GB | Low | B67 |
NVFP4 | 4 | 4.5 GB | Medium | B68 |
Q4_K_M | 4 | 4.9 GB | Medium | B69 |
Q5_K_M | 5 | 5.8 GB | High | B69 |
Q6_KBest for your GPU | 6 | 6.6 GB | High | B69 |
Q8_0 | 8 | 8.6 GB | Very High | F0 |
F16 | 16 | 16.4 GB | Maximum | F0 |
Get started
Copy-paste commands to run DeepSeek R1 Distill 8B on your machine.
Run
ollama run deepseek-r1:8bアップグレードオプション
DeepSeek R1 Distill 8Bを快適に動かすハードウェア
MacBook Pro M4 Pro 24GBコスパ最良
24 GB Unified (+8)273 GB/s (+73)
B
Raises estimated decode speed by about 49%.42.6 tok/sデコード
Raises estimated decode speed by about 49%.
Adds memory headroom for longer context windows and future model growth.
〜$1,999 MSRP
MacBook Pro M2 Max 32GBAppleアップグレード
32 GB Unified (+16)400 GB/s (+200)
B
Raises estimated decode speed by about 79%.51.1 tok/sデコード
Raises estimated decode speed by about 79%.
Adds memory headroom for longer context windows and future model growth.
〜$1,999 MSRP
Frequently asked questions
Can MacBook Pro M1 Pro 16GB run DeepSeek R1 Distill 8B?
Yes, MacBook Pro M1 Pro 16GB can run DeepSeek R1 Distill 8B with a B grade (Tight fit). Expected decode speed: 28.6 tok/s.
How much VRAM does DeepSeek R1 Distill 8B need?
DeepSeek R1 Distill 8B (8B parameters) requires approximately 9.5 GB of memory with Q4_K_M quantization.
What is the best quantization for DeepSeek R1 Distill 8B?
The recommended quantization for DeepSeek R1 Distill 8B is Q4_K_M, which balances quality and memory efficiency.
What speed will DeepSeek R1 Distill 8B run at on MacBook Pro M1 Pro 16GB?
On MacBook Pro M1 Pro 16GB, DeepSeek R1 Distill 8B achieves approximately 28.6 tokens per second decode speed with a time-to-first-token of 6760ms using Q4_K_M quantization.
Can MacBook Pro M1 Pro 16GB run DeepSeek R1 Distill 8B for coding?
For coding workloads, DeepSeek R1 Distill 8B on MacBook Pro M1 Pro 16GB receives a B grade with 28.6 tok/s and 33K context.
What context window can DeepSeek R1 Distill 8B use on MacBook Pro M1 Pro 16GB?
On MacBook Pro M1 Pro 16GB, DeepSeek R1 Distill 8B can safely use up to 33K tokens of context. The model's official context limit is 33K, but available memory constrains the safe maximum.
Is unified memory on MacBook Pro M1 Pro 16GB as fast as VRAM for DeepSeek R1 Distill 8B?
Not always. MacBook Pro M1 Pro 16GB 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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