Yi 1.5 9B Chat needs ~21.3 GB VRAM. Mac Studio M2 Ultra 128GB has 92.2 GB. With Q4_K_M quantization, expect ~85 tok/s.
Operating mode
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
Fit status
Runs well
Decode
84.5 tok/s
TTFT
2291 ms
Safe context
1.1M
Memory
21.3 GB / 92.2 GB
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.
| Workload | Grade | Fit | Decode | TTFT | Context |
|---|---|---|---|---|---|
| Chat | C | Runs well | 84.5 tok/s | 1249 ms | 1.1M |
| Coding | C | Runs well | 84.5 tok/s | 2291 ms | 1.1M |
| Agentic Coding | C | Runs well | 84.5 tok/s | 3332 ms | 1.1M |
| Reasoning | C | Runs well | 84.5 tok/s | 2707 ms | 1.1M |
| RAG | C | Runs well | 84.5 tok/s | 4165 ms | 1.1M |
How Yi 1.5 9B Chat (9B params) fits at each quantization level on Mac Studio M2 Ultra 128GB (92.2 GB usable).
| Quant | Bits | VRAM | Quality | Fit |
|---|---|---|---|---|
Q2_K | 2 | 3.5 GB | Low | D39 |
Q3_K_S | 3 | 4.4 GB | Low | D39 |
NVFP4 | 4 |
Copy-paste commands to run Yi 1.5 9B Chat on your machine.
Run
lms load hf-bartowski--yi-1-5-9b-chat-gguf && lms server startYes, Mac Studio M2 Ultra 128GB can run Yi 1.5 9B Chat with a C grade (Runs well). Expected decode speed: 84.5 tok/s.
Yi 1.5 9B Chat (9B parameters) requires approximately 21.3 GB of memory with Q4_K_M quantization.
The recommended quantization for Yi 1.5 9B Chat is Q4_K_M, which balances quality and memory efficiency.
On Mac Studio M2 Ultra 128GB, Yi 1.5 9B Chat achieves approximately 84.5 tokens per second decode speed with a time-to-first-token of 2291ms using Q4_K_M quantization.
For coding workloads, Yi 1.5 9B Chat on Mac Studio M2 Ultra 128GB receives a C grade with 84.5 tok/s and 1.1M context.
On Mac Studio M2 Ultra 128GB, Yi 1.5 9B Chat can safely use up to 1.1M tokens of context. The model's official context limit is —, but available memory constrains the safe maximum.
Paste this snippet into any page to show a live fit card.
<iframe src="https://willitrunai.com/embed/hf-bartowski--yi-1-5-9b-chat-gguf-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>
Preview:
5.0 GB |
| Medium |
| D39 |
Q4_K_M | 4 | 5.5 GB | Medium | D39 |
Q5_K_M | 5 | 6.5 GB | High | D39 |
Q6_K | 6 | 7.4 GB | High | D39 |
Q8_0 | 8 | 9.6 GB | Very High | D39 |
F16Best for your GPU | 16 | 18.5 GB | Maximum | C40 |
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.