Yi 1.5 9B needs ~9.8 GB VRAM. RTX A4000 16GB has 16.0 GB. With Q4_K_M quantization, expect ~62 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
62.1 tok/s
TTFT
3117 ms
Safe context
4K
Memory
9.8 GB / 16.0 GB
This setup is broadly balanced for this model.
No major red flags
This recommendation has enough memory headroom and acceptable estimated speed for the selected workload.
| Workload | Grade | Fit | Decode | TTFT | Context |
|---|---|---|---|---|---|
| Chat | B | Runs well | 62.1 tok/s | 1700 ms | 4K |
| Coding | B | Runs well | 62.1 tok/s | 3117 ms | 4K |
| Agentic Coding | B | Runs well | 62.1 tok/s | 4533 ms | 4K |
| Reasoning | B | Runs well | 62.1 tok/s | 3683 ms | 4K |
| RAG | B | Runs well | 62.1 tok/s | 5666 ms | 4K |
How Yi 1.5 9B (9B params) fits at each quantization level on RTX A4000 16GB (16.0 GB usable).
| Quant | Bits | VRAM | Quality | Fit |
|---|---|---|---|---|
Q2_K | 2 | 3.5 GB | Low | C52 |
Q3_K_S | 3 | 4.4 GB | Low | C53 |
NVFP4 | 4 | 5.0 GB | Medium | C53 |
Q4_K_M | 4 | 5.5 GB | Medium | C54 |
Q5_K_M | 5 | 6.5 GB | High | C55 |
Q6_K | 6 | 7.4 GB | High | B56 |
Q8_0Best for your GPU | 8 | 9.6 GB | Very High | B56 |
F16 | 16 | 18.5 GB | Maximum | F0 |
Copy-paste commands to run Yi 1.5 9B on your machine.
Run
lms load Yi-1.5-9B-Chat && lms server startYes, RTX A4000 16GB can run Yi 1.5 9B with a B grade (Runs well). Expected decode speed: 62.1 tok/s.
Yi 1.5 9B (9B parameters) requires approximately 9.8 GB of memory with Q4_K_M quantization.
The recommended quantization for Yi 1.5 9B is Q4_K_M, which balances quality and memory efficiency.
On RTX A4000 16GB, Yi 1.5 9B achieves approximately 62.1 tokens per second decode speed with a time-to-first-token of 3117ms using Q4_K_M quantization.
For coding workloads, Yi 1.5 9B on RTX A4000 16GB receives a B grade with 62.1 tok/s and 4K context.
On RTX A4000 16GB, Yi 1.5 9B 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-1.5-9b-on-a4000-16gb" 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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