Yi Coder 9B needs ~9.8 GB VRAM. Tesla P100 16GB has 16.0 GB. With Q4_K_M quantization, expect ~79 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
85.5 tok/s
TTFT
2263 ms
Safe context
84K
Memory
9.8 GB / 16.0 GB
This setup is broadly balanced for this model.
Older PCIe generation
PCIe 3.0 is workable, but it compounds the penalty when you offload heavily or try to scale across multiple cards.
| Workload | Grade | Fit | Decode | TTFT | Context |
|---|---|---|---|---|---|
| Chat | B | Runs well | 78.7 tok/s | 1342 ms | 84K |
| Coding | B | Runs well | 78.7 tok/s | 2461 ms | 84K |
| Agentic Coding | B | Runs well | 78.7 tok/s | 3580 ms | 84K |
| Reasoning | B | Runs well | 78.7 tok/s | 2908 ms | 84K |
| RAG | B | Runs well | 78.7 tok/s | 4475 ms | 84K |
How Yi Coder 9B (9B params) fits at each quantization level on Tesla P100 16GB (16.0 GB usable).
| Quant | Bits | VRAM | Quality | Fit |
|---|---|---|---|---|
Q2_K | 2 | 3.5 GB | Low | B60 |
Q3_K_S | 3 | 4.4 GB | Low | B60 |
NVFP4 | 4 |
Copy-paste commands to run Yi Coder 9B on your machine.
Run
lms load Yi-Coder-9B-Chat && lms server startYes, Tesla P100 16GB can run Yi Coder 9B with a B grade (Runs well). Expected decode speed: 78.7 tok/s.
Yi Coder 9B (9B parameters) requires approximately 9.8 GB of memory with Q4_K_M quantization.
The recommended quantization for Yi Coder 9B is Q4_K_M, which balances quality and memory efficiency.
On Tesla P100 16GB, Yi Coder 9B achieves approximately 78.7 tokens per second decode speed with a time-to-first-token of 2461ms using Q4_K_M quantization.
For coding workloads, Yi Coder 9B on Tesla P100 16GB receives a B grade with 78.7 tok/s and 84K context.
On Tesla P100 16GB, Yi Coder 9B can safely use up to 84K tokens of context. The model's official context limit is 131K, 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-coder-9b-on-tesla-p100-16gb" 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 |
| B61 |
Q4_K_M | 4 | 5.5 GB | Medium | B61 |
Q5_K_M | 5 | 6.5 GB | High | B62 |
Q6_K | 6 | 7.4 GB | High | B63 |
Q8_0Best for your GPU | 8 | 9.6 GB | Very High | B63 |
F16 | 16 | 18.5 GB | Maximum | F0 |