RTX PRO 6000 Blackwell Workstation Edition 96GBOpção econômica1792 GB/s (+992)
B
Raises estimated decode speed by about 228%.182 tok/s decodificação
Raises estimated decode speed by about 228%.
~$9,999 MSRP
Can WizardLM 13B run on Mac Studio M1 Ultra 128GB?
YES — Runs Great
B69Good
Estimated from fit model
WizardLM 13B needs ~34.9 GB VRAM. Mac Studio M1 Ultra 128GB has 92.2 GB. With Q4_K_M quantization, expect ~56 tok/s.
Runtime: llama.cppCapacity: RoomyBandwidth: HighStack: 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) — 34.9 GB, 55.5 tok/s, Runs well
34.9 GB required92.2 GB available
38% VRAM used
Fit status
Runs well
Decode
55.5 tok/s
TTFT
3489 ms
Safe context
8K
Memory
34.9 GB / 92.2 GB
Memory breakdown
Weights7.9 GB
KV Cache12.2 GB
Runtime0.9 GB
Headroom13.8 GB
See how fast it feels
See how fast it feelsWizardLM 13B on Mac Studio M1 Ultra 128GB
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: 55.5 tok/s decode · 3.5s TTFT (warm) · 139 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 | 55.5 tok/s | 1903 ms | 8K |
| Coding | B | Runs well | 55.5 tok/s | 3489 ms | 8K |
| Agentic Coding | A | Runs well | 55.5 tok/s | 5075 ms | 8K |
| Reasoning | B | Runs well | 55.5 tok/s | 4124 ms | 8K |
| RAG | A | Runs well | 55.5 tok/s | 6344 ms | 8K |
Quantization options
How WizardLM 13B (13B params) fits at each quantization level on Mac Studio M1 Ultra 128GB (92.2 GB usable).
| Quant | Bits | VRAM | Quality | Fit |
|---|---|---|---|---|
Q2_K | 2 | 5.1 GB | Low | B60 |
Q3_K_S | 3 | 6.4 GB | Low | B60 |
NVFP4 | 4 | 7.3 GB | Medium | B60 |
Q4_K_M | 4 | 7.9 GB | Medium | B60 |
Q5_K_M | 5 | 9.4 GB | High | B60 |
Q6_K | 6 | 10.7 GB | High | B60 |
Q8_0 | 8 | 13.9 GB | Very High | B61 |
F16Best for your GPU | 16 | 26.7 GB | Maximum | B62 |
Get started
Copy-paste commands to run WizardLM 13B on your machine.
Run
lms load WizardLM-13B-V1.0 && lms server startOpções de upgrade
Hardware que roda bem WizardLM 13B
Frequently asked questions
Can Mac Studio M1 Ultra 128GB run WizardLM 13B?
Yes, Mac Studio M1 Ultra 128GB can run WizardLM 13B with a B grade (Runs well). Expected decode speed: 55.5 tok/s.
How much VRAM does WizardLM 13B need?
WizardLM 13B (13B parameters) requires approximately 34.9 GB of memory with Q4_K_M quantization.
What is the best quantization for WizardLM 13B?
The recommended quantization for WizardLM 13B is Q4_K_M, which balances quality and memory efficiency.
What speed will WizardLM 13B run at on Mac Studio M1 Ultra 128GB?
On Mac Studio M1 Ultra 128GB, WizardLM 13B achieves approximately 55.5 tokens per second decode speed with a time-to-first-token of 3489ms using Q4_K_M quantization.
Can Mac Studio M1 Ultra 128GB run WizardLM 13B for coding?
For coding workloads, WizardLM 13B on Mac Studio M1 Ultra 128GB receives a B grade with 55.5 tok/s and 8K context.
What context window can WizardLM 13B use on Mac Studio M1 Ultra 128GB?
On Mac Studio M1 Ultra 128GB, WizardLM 13B can safely use up to 8K tokens of context. The model's official context limit is 8K, but available memory constrains the safe maximum.
Is unified memory on Mac Studio M1 Ultra 128GB as fast as VRAM for WizardLM 13B?
Not always. Mac Studio M1 Ultra 128GB 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.
Embed this result▼
Paste this snippet into any page to show a live fit card.
<iframe src="https://willitrunai.com/embed/wizardlm-13b-on-m1-ultra-128gb" width="400" height="180" frameborder="0" style="border:none;border-radius:12px;overflow:hidden;" title="Will It Run AI — fit result"></iframe>
Preview: