Yi 1.5 6B needs ~8.1 GB VRAM. MacBook Pro M4 Pro 24GB has 17.3 GB. With Q4_K_M quantization, expect ~58 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
57.5 tok/s
TTFT
3369 ms
Safe context
4K
Memory
8.1 GB / 17.3 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 | 57.5 tok/s | 1838 ms | 4K |
| Coding | C | Runs well | 57.5 tok/s | 3369 ms | 4K |
| Agentic Coding | C | Runs well | 57.5 tok/s | 4901 ms | 4K |
| Reasoning | C | Runs well | 57.5 tok/s | 3982 ms | 4K |
| RAG | C | Runs well | 57.4 tok/s | 6129 ms | 4K |
How Yi 1.5 6B (6B params) fits at each quantization level on MacBook Pro M4 Pro 24GB (17.3 GB usable).
| Quant | Bits | VRAM | Quality | Fit |
|---|---|---|---|---|
Q2_K | 2 | 2.3 GB | Low | C46 |
Q3_K_S | 3 | 2.9 GB | Low | C46 |
NVFP4 | 4 |
Copy-paste commands to run Yi 1.5 6B on your machine.
Run
lms load Yi-1.5-6B-Chat && lms server startYes, MacBook Pro M4 Pro 24GB can run Yi 1.5 6B with a C grade (Runs well). Expected decode speed: 57.5 tok/s.
Yi 1.5 6B (6B parameters) requires approximately 8.1 GB of memory with Q4_K_M quantization.
The recommended quantization for Yi 1.5 6B is Q4_K_M, which balances quality and memory efficiency.
On MacBook Pro M4 Pro 24GB, Yi 1.5 6B achieves approximately 57.5 tokens per second decode speed with a time-to-first-token of 3369ms using Q4_K_M quantization.
For coding workloads, Yi 1.5 6B on MacBook Pro M4 Pro 24GB receives a C grade with 57.5 tok/s and 4K context.
On MacBook Pro M4 Pro 24GB, Yi 1.5 6B can safely use up to 4K tokens of context. The model's official context limit is 4K, 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/yi-1.5-6b-on-m4-pro-24gb" width="400" height="180" frameborder="0" style="border:none;border-radius:12px;overflow:hidden;" title="Will It Run AI — fit result"></iframe>
Preview:
3.4 GB |
| Medium |
| C47 |
Q4_K_M | 4 | 3.7 GB | Medium | C47 |
Q5_K_M | 5 | 4.3 GB | High | C47 |
Q6_K | 6 | 4.9 GB | High | C48 |
Q8_0 | 8 | 6.4 GB | Very High | C49 |
F16Best for your GPU | 16 | 12.3 GB | Maximum | C50 |
Not always. MacBook Pro M4 Pro 24GB 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.