Yi 34B Chat needs ~39.4 GB VRAM. NVIDIA H200 PCIe 141GB has 141.0 GB. With Q4_K_M quantization, expect ~194 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
211.1 tok/s
TTFT
917 ms
Safe context
200K
Memory
39.4 GB / 141.0 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 | 194.4 tok/s | 543 ms | 200K |
| Coding | C | Runs well | 194.4 tok/s | 996 ms | 200K |
| Agentic Coding | C | Runs well | 194.4 tok/s | 1449 ms | 200K |
| Reasoning | C | Runs well | 194.4 tok/s | 1177 ms | 200K |
| RAG | C | Runs well | 194.4 tok/s | 1811 ms | 200K |
How Yi 34B Chat (34B params) fits at each quantization level on NVIDIA H200 PCIe 141GB (141.0 GB usable).
| Quant | Bits | VRAM | Quality | Fit |
|---|---|---|---|---|
Q2_K | 2 | 13.3 GB | Low | D40 |
Q3_K_S | 3 | 16.7 GB | Low | D40 |
NVFP4 | 4 |
Copy-paste commands to run Yi 34B Chat on your machine.
Run
lms load Yi-34B-Chat && lms server startYes, NVIDIA H200 PCIe 141GB can run Yi 34B Chat with a C grade (Runs well). Expected decode speed: 194.4 tok/s.
Yi 34B Chat (34B parameters) requires approximately 39.4 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 NVIDIA H200 PCIe 141GB, Yi 34B Chat achieves approximately 194.4 tokens per second decode speed with a time-to-first-token of 996ms using Q4_K_M quantization.
For coding workloads, Yi 34B Chat on NVIDIA H200 PCIe 141GB receives a C grade with 194.4 tok/s and 200K context.
On NVIDIA H200 PCIe 141GB, 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-h200-pcie-141gb" width="400" height="180" frameborder="0" style="border:none;border-radius:12px;overflow:hidden;" title="Will It Run AI — fit result"></iframe>
Preview:
19.0 GB |
| Medium |
| C40 |
Q4_K_M | 4 | 20.7 GB | Medium | C40 |
Q5_K_M | 5 | 24.5 GB | High | C41 |
Q6_K | 6 | 27.9 GB | High | C41 |
Q8_0 | 8 | 36.4 GB | Very High | C42 |
F16Best for your GPU | 16 | 69.7 GB | Maximum | C48 |