Yi Coder 9B needs ~10.6 GB VRAM. RTX PRO 4000 Blackwell 24GB has 24.0 GB. With Q4_K_M quantization, expect ~103 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
111.8 tok/s
TTFT
1731 ms
Safe context
131K
Memory
10.6 GB / 24.0 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 | 102.8 tok/s | 1027 ms | 131K |
| Coding | B | Runs well | 102.8 tok/s | 1883 ms | 131K |
| Agentic Coding | B | Runs well | 102.8 tok/s | 2739 ms | 131K |
| Reasoning | B | Runs well | 102.8 tok/s | 2225 ms | 131K |
| RAG | B | Runs well | 102.8 tok/s | 3423 ms | 131K |
How Yi Coder 9B (9B params) fits at each quantization level on RTX PRO 4000 Blackwell 24GB (24.0 GB usable).
| Quant | Bits | VRAM | Quality | Fit |
|---|---|---|---|---|
Q2_K | 2 | 3.5 GB | Low | B57 |
Q3_K_S | 3 | 4.4 GB | Low | B57 |
NVFP4 | 4 |
Copy-paste commands to run Yi Coder 9B on your machine.
Run
lms load Yi-Coder-9B-Chat && lms server startYes, RTX PRO 4000 Blackwell 24GB can run Yi Coder 9B with a B grade (Runs well). Expected decode speed: 102.8 tok/s.
Yi Coder 9B (9B parameters) requires approximately 10.6 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 RTX PRO 4000 Blackwell 24GB, Yi Coder 9B achieves approximately 102.8 tokens per second decode speed with a time-to-first-token of 1883ms using Q4_K_M quantization.
For coding workloads, Yi Coder 9B on RTX PRO 4000 Blackwell 24GB receives a B grade with 102.8 tok/s and 131K context.
On RTX PRO 4000 Blackwell 24GB, Yi Coder 9B can safely use up to 131K 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-rtx-pro-4000-blackwell-24gb" 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 |
| B58 |
Q4_K_M | 4 | 5.5 GB | Medium | B58 |
Q5_K_M | 5 | 6.5 GB | High | B58 |
Q6_K | 6 | 7.4 GB | High | B59 |
Q8_0 | 8 | 9.6 GB | Very High | B60 |
F16Best for your GPU | 16 | 18.5 GB | Maximum | B62 |