Yi 34B Chat needs ~34.9 GB VRAM. RTX PRO 6000 Blackwell Server Edition 96GB has 96.0 GB. With Q4_K_M quantization, expect ~70 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
70.2 tok/s
TTFT
2757 ms
Safe context
200K
Memory
34.9 GB / 96.0 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 | 70.2 tok/s | 1504 ms | 200K |
| Coding | C | Runs well | 70.2 tok/s | 2757 ms | 200K |
| Agentic Coding | C | Runs well | 70.2 tok/s | 4010 ms | 200K |
| Reasoning | C | Runs well | 70.2 tok/s | 3258 ms | 200K |
| RAG | C | Runs well | 70.2 tok/s | 5012 ms | 200K |
How Yi 34B Chat (34B params) fits at each quantization level on RTX PRO 6000 Blackwell Server Edition 96GB (96.0 GB usable).
| Quant | Bits | VRAM | Quality | Fit |
|---|---|---|---|---|
Q2_K | 2 | 13.3 GB | Low | C41 |
Q3_K_S | 3 | 16.7 GB | Low | C42 |
NVFP4 | 4 | 19.0 GB | Medium | C42 |
Q4_K_M | 4 | 20.7 GB | Medium | C42 |
Q5_K_M | 5 | 24.5 GB | High | C43 |
Q6_K | 6 | 27.9 GB | High | C43 |
Q8_0 | 8 | 36.4 GB | Very High | C45 |
F16Best for your GPU | 16 | 69.7 GB | Maximum | C49 |
Copy-paste commands to run Yi 34B Chat on your machine.
Run
lms load Yi-34B-Chat && lms server startYes, RTX PRO 6000 Blackwell Server Edition 96GB can run Yi 34B Chat with a C grade (Runs well). Expected decode speed: 70.2 tok/s.
Yi 34B Chat (34B parameters) requires approximately 34.9 GB of memory with Q4_K_M quantization.
The recommended quantization for Yi 34B Chat is Q4_K_M, which balances quality and memory efficiency.
On RTX PRO 6000 Blackwell Server Edition 96GB, Yi 34B Chat achieves approximately 70.2 tokens per second decode speed with a time-to-first-token of 2757ms using Q4_K_M quantization.
For coding workloads, Yi 34B Chat on RTX PRO 6000 Blackwell Server Edition 96GB receives a C grade with 70.2 tok/s and 200K context.
On RTX PRO 6000 Blackwell Server Edition 96GB, Yi 34B Chat can safely use up to 200K tokens of context. The model's official context limit is 200K, 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-34b-chat-on-rtx-pro-6000-blackwell-server-96gb" width="400" height="180" frameborder="0" style="border:none;border-radius:12px;overflow:hidden;" title="Will It Run AI — fit result"></iframe>
Preview: