Qwen 3.6 27B needs ~21.5 GB VRAM. RTX 5000 Ada 32GB has 32.0 GB. With Q4_K_M quantization, expect ~23 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
23.0 tok/s
TTFT
8428 ms
Safe context
187K
Memory
21.5 GB / 32.0 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 | 23.0 tok/s | 4597 ms | 187K |
| Coding | S | Runs well | 23.0 tok/s | 8428 ms | 187K |
| Agentic Coding | S | Runs well | 23.0 tok/s | 12259 ms | 187K |
| Reasoning | S | Runs well | 23.0 tok/s | 9961 ms | 187K |
| RAG | S | Runs well | 23.0 tok/s | 15324 ms | 187K |
How Qwen 3.6 27B (27B params) fits at each quantization level on RTX 5000 Ada 32GB (32.0 GB usable).
| Quant | Bits | VRAM | Quality | Fit |
|---|---|---|---|---|
Q2_K | 2 | 10.5 GB | Low | S89 |
Q3_K_S | 3 | 13.2 GB | Low | S90 |
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 |
|---|---|---|---|---|
| 30.5B | S | 69.7 tok/s |
Yes, RTX 5000 Ada 32GB can run Qwen 3.6 27B with a S grade (Runs well). Expected decode speed: 23.0 tok/s.
Qwen 3.6 27B (27B parameters) requires approximately 21.5 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 RTX 5000 Ada 32GB, Qwen 3.6 27B achieves approximately 23.0 tokens per second decode speed with a time-to-first-token of 8428ms using Q4_K_M quantization.
For coding workloads, Qwen 3.6 27B on RTX 5000 Ada 32GB receives a S grade with 23.0 tok/s and 187K context.
On RTX 5000 Ada 32GB, Qwen 3.6 27B can safely use up to 187K 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-rtx-5000-ada-32gb" width="400" height="180" frameborder="0" style="border:none;border-radius:12px;overflow:hidden;" title="Will It Run AI — fit result"></iframe>
Preview:
| Medium |
| S91 |
Q4_K_M | 4 | 16.5 GB | Medium | S92 |
Q5_K_M | 5 | 19.4 GB | High | S92 |
Q6_KBest for your GPU | 6 | 22.1 GB | High | S91 |
Q8_0 | 8 | 28.9 GB | Very High | F0 |
F16 | 16 | 55.4 GB | Maximum | F0 |