RTX PRO 6000 Blackwell Workstation Edition 96GBGünstige Wahl1792 GB/s (+992)
B
Raises estimated decode speed by about 224%.78.8 tok/s Dekodierung
Raises estimated decode speed by about 224%.
ca. $9,999 MSRP
Can Yi 1.5 34B run on Mac Studio M2 Ultra 128GB?
YES — Runs Great
B59Good
Estimated from fit model
Yi 1.5 34B needs ~39.1 GB VRAM. Mac Studio M2 Ultra 128GB has 92.2 GB. With Q4_K_M quantization, expect ~24 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) — 39.1 GB, 24.3 tok/s, Runs well
39.1 GB required92.2 GB available
42% VRAM used
Fit status
Runs well
Decode
24.3 tok/s
TTFT
7970 ms
Safe context
4K
Memory
39.1 GB / 92.2 GB
Memory breakdown
Weights20.7 GB
KV Cache3.7 GB
Runtime0.9 GB
Headroom13.8 GB
See how fast it feels
See how fast it feelsYi 1.5 34B on Mac Studio M2 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: 24.3 tok/s decode · 8.0s TTFT (warm) · 61 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 | 24.3 tok/s | 4347 ms | 4K |
| Coding | B | Runs well | 24.3 tok/s | 7970 ms | 4K |
| Agentic Coding | B | Runs well | 24.3 tok/s | 11593 ms | 4K |
| Reasoning | B | Runs well | 24.3 tok/s | 9420 ms | 4K |
| RAG | B | Runs well | 24.3 tok/s | 14492 ms | 4K |
Quantization options
How Yi 1.5 34B (34B params) fits at each quantization level on Mac Studio M2 Ultra 128GB (92.2 GB usable).
| Quant | Bits | VRAM | Quality | Fit |
|---|---|---|---|---|
Q2_K | 2 | 13.3 GB | Low | C53 |
Q3_K_S | 3 | 16.7 GB | Low | C53 |
NVFP4 | 4 | 19.0 GB | Medium | C53 |
Q4_K_M | 4 | 20.7 GB | Medium | C54 |
Q5_K_M | 5 | 24.5 GB | High | C54 |
Q6_K | 6 | 27.9 GB | High | C55 |
Q8_0 | 8 | 36.4 GB | Very High | B57 |
F16Best for your GPU | 16 | 69.7 GB | Maximum | B60 |
Get started
Copy-paste commands to run Yi 1.5 34B on your machine.
Run
lms load Yi-1.5-34B-Chat && lms server startUpgrade-Optionen
Hardware, die Yi 1.5 34B gut ausführt
Frequently asked questions
Can Mac Studio M2 Ultra 128GB run Yi 1.5 34B?
Yes, Mac Studio M2 Ultra 128GB can run Yi 1.5 34B with a B grade (Runs well). Expected decode speed: 24.3 tok/s.
How much VRAM does Yi 1.5 34B need?
Yi 1.5 34B (34B parameters) requires approximately 39.1 GB of memory with Q4_K_M quantization.
What is the best quantization for Yi 1.5 34B?
The recommended quantization for Yi 1.5 34B is Q4_K_M, which balances quality and memory efficiency.
What speed will Yi 1.5 34B run at on Mac Studio M2 Ultra 128GB?
On Mac Studio M2 Ultra 128GB, Yi 1.5 34B achieves approximately 24.3 tokens per second decode speed with a time-to-first-token of 7970ms using Q4_K_M quantization.
Can Mac Studio M2 Ultra 128GB run Yi 1.5 34B for coding?
For coding workloads, Yi 1.5 34B on Mac Studio M2 Ultra 128GB receives a B grade with 24.3 tok/s and 4K context.
What context window can Yi 1.5 34B use on Mac Studio M2 Ultra 128GB?
On Mac Studio M2 Ultra 128GB, Yi 1.5 34B can safely use up to 4K tokens of context. The model's official context limit is 4K, but available memory constrains the safe maximum.
Is unified memory on Mac Studio M2 Ultra 128GB as fast as VRAM for Yi 1.5 34B?
Not always. Mac Studio M2 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.
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<iframe src="https://willitrunai.com/embed/yi-1.5-34b-on-m2-ultra-128gb" 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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