Yi 1.5 9B needs ~11.4 GB VRAM. NVIDIA V100 32GB has 32.0 GB. With Q4_K_M quantization, expect ~119 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
119.4 tok/s
TTFT
1621 ms
Safe context
4K
Memory
11.4 GB / 32.0 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 | C | Runs well | 119.4 tok/s | 884 ms | 4K |
| Coding | C | Runs well | 119.4 tok/s | 1621 ms | 4K |
| Agentic Coding | C | Runs well | 119.4 tok/s | 2358 ms | 4K |
| Reasoning | C | Runs well | 119.4 tok/s | 1915 ms | 4K |
| RAG | C | Runs well | 119.4 tok/s | 2947 ms | 4K |
How Yi 1.5 9B (9B params) fits at each quantization level on NVIDIA V100 32GB (32.0 GB usable).
| Quant | Bits | VRAM | Quality | Fit |
|---|---|---|---|---|
Q2_K | 2 | 3.5 GB | Low | C48 |
Q3_K_S | 3 | 4.4 GB | Low | C48 |
NVFP4 | 4 | 5.0 GB | Medium | C48 |
Q4_K_M | 4 | 5.5 GB | Medium | C48 |
Q5_K_M | 5 | 6.5 GB | High | C49 |
Q6_K | 6 | 7.4 GB | High | C49 |
Q8_0 | 8 | 9.6 GB | Very High | C50 |
F16Best for your GPU | 16 | 18.5 GB | Maximum | C54 |
Copy-paste commands to run Yi 1.5 9B on your machine.
Run
lms load Yi-1.5-9B-Chat && lms server startYes, NVIDIA V100 32GB can run Yi 1.5 9B with a C grade (Runs well). Expected decode speed: 119.4 tok/s.
Yi 1.5 9B (9B parameters) requires approximately 11.4 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 NVIDIA V100 32GB, Yi 1.5 9B achieves approximately 119.4 tokens per second decode speed with a time-to-first-token of 1621ms using Q4_K_M quantization.
For coding workloads, Yi 1.5 9B on NVIDIA V100 32GB receives a C grade with 119.4 tok/s and 4K context.
On NVIDIA V100 32GB, 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-v100-32gb" 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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