Qwen 3.6 27B needs ~35.4 GB VRAM. NVIDIA H200 PCIe 141GB has 141.0 GB. With Q4_K_M quantization, expect ~152 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
164.8 tok/s
TTFT
1175 ms
Safe context
262K
Memory
32.4 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 | S | Runs well | 152.1 tok/s | 694 ms | 262K |
| Coding | S | Runs well | 152.1 tok/s | 1273 ms | 262K |
| Agentic Coding | S | Runs well | 152.1 tok/s | 1851 ms | 262K |
| Reasoning | S | Runs well | 152.1 tok/s | 1504 ms | 262K |
| RAG | S | Runs well | 152.1 tok/s | 2314 ms | 262K |
How Qwen 3.6 27B (27B params) fits at each quantization level on NVIDIA H200 PCIe 141GB (141.0 GB usable).
| Quant | Bits | VRAM | Quality | Fit |
|---|---|---|---|---|
Q2_K | 2 | 10.5 GB | Low | A81 |
Q3_K_S | 3 | 13.2 GB | Low | A81 |
NVFP4 | 4 |
Copy-paste commands to run Qwen 3.6 27B on your machine.
Run
lms load Qwen3.6-27B && lms server startYour hardware
| Model | Params | Grade | Decode | Capabilities |
|---|---|---|---|---|
| 123B | S | 58.4 tok/s | ||
| 30.5B | S |
Yes, NVIDIA H200 PCIe 141GB can run Qwen 3.6 27B with a S grade (Runs well). Expected decode speed: 152.1 tok/s.
Qwen 3.6 27B (27B parameters) requires approximately 35.4 GB of memory with Q4_K_M quantization.
The recommended quantization for Qwen 3.6 27B is Q4_K_M, which balances quality and memory efficiency.
On NVIDIA H200 PCIe 141GB, Qwen 3.6 27B achieves approximately 152.1 tokens per second decode speed with a time-to-first-token of 1273ms using Q4_K_M quantization.
For coding workloads, Qwen 3.6 27B on NVIDIA H200 PCIe 141GB receives a S grade with 152.1 tok/s and 262K context.
On NVIDIA H200 PCIe 141GB, Qwen 3.6 27B can safely use up to 262K tokens of context. The model's official context limit is 262K, 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/qwen-3.6-27b-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:
15.1 GB |
| Medium |
| A81 |
Q4_K_M | 4 | 16.5 GB | Medium | A81 |
Q5_K_M | 5 | 19.4 GB | High | A81 |
Q6_K | 6 | 22.1 GB | High | A81 |
Q8_0 | 8 | 28.9 GB | Very High | A82 |
F16Best for your GPU | 16 | 55.4 GB | Maximum | S86 |
| 609.7 tok/s |