Qwen 3.6 27B needs ~24.8 GB VRAM. RTX PRO 5000 Blackwell 48GB has 48.0 GB. With Q4_K_M quantization, expect ~74 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
74.3 tok/s
TTFT
2607 ms
Safe context
262K
Memory
24.8 GB / 48.0 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 | 74.3 tok/s | 1422 ms | 262K |
| Coding | S | Runs well | 74.3 tok/s | 2607 ms | 262K |
| Agentic Coding | S | Runs well | 74.3 tok/s | 3792 ms | 262K |
| Reasoning | S | Runs well | 74.3 tok/s | 3081 ms | 262K |
| RAG | S | Runs well | 74.3 tok/s | 4740 ms | 262K |
How Qwen 3.6 27B (27B params) fits at each quantization level on RTX PRO 5000 Blackwell 48GB (48.0 GB usable).
| Quant | Bits | VRAM | Quality | Fit |
|---|---|---|---|---|
Q2_K | 2 | 10.5 GB | Low | S86 |
Q3_K_S | 3 | 13.2 GB | Low | S86 |
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 | 170.7 tok/s |
Yes, RTX PRO 5000 Blackwell 48GB can run Qwen 3.6 27B with a S grade (Runs well). Expected decode speed: 74.3 tok/s.
Qwen 3.6 27B (27B parameters) requires approximately 24.8 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 PRO 5000 Blackwell 48GB, Qwen 3.6 27B achieves approximately 74.3 tokens per second decode speed with a time-to-first-token of 2607ms using Q4_K_M quantization.
For coding workloads, Qwen 3.6 27B on RTX PRO 5000 Blackwell 48GB receives a S grade with 74.3 tok/s and 262K context.
On RTX PRO 5000 Blackwell 48GB, 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-rtx-pro-5000-blackwell-48gb" 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 |
| S87 |
Q4_K_M | 4 | 16.5 GB | Medium | S87 |
Q5_K_M | 5 | 19.4 GB | High | S88 |
Q6_K | 6 | 22.1 GB | High | S89 |
Q8_0Best for your GPU | 8 | 28.9 GB | Very High | S91 |
F16 | 16 | 55.4 GB | Maximum | F0 |