Qwen 3.6 27B needs ~20.7 GB VRAM. NVIDIA A30 24GB has 24.0 GB. With Q4_K_M quantization, expect ~32 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
Tight fit
Decode
32.1 tok/s
TTFT
6035 ms
Safe context
69K
Memory
20.7 GB / 24.0 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 | Tight fit | 32.1 tok/s | 3292 ms | 69K |
| Coding | S | Tight fit | 32.1 tok/s | 6035 ms | 69K |
| Agentic Coding | S | Tight fit | 32.1 tok/s | 8779 ms | 69K |
| Reasoning | S | Tight fit | 32.1 tok/s | 7133 ms | 69K |
| RAG | S | Tight fit | 32.1 tok/s | 10973 ms | 69K |
How Qwen 3.6 27B (27B params) fits at each quantization level on NVIDIA A30 24GB (24.0 GB usable).
| Quant | Bits | VRAM | Quality | Fit |
|---|---|---|---|---|
Q2_K | 2 | 10.5 GB | Low | S92 |
Q3_K_S | 3 | 13.2 GB | Low | S93 |
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 | 110 tok/s |
Yes, NVIDIA A30 24GB can run Qwen 3.6 27B with a S grade (Tight fit). Expected decode speed: 32.1 tok/s.
Qwen 3.6 27B (27B parameters) requires approximately 20.7 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 A30 24GB, Qwen 3.6 27B achieves approximately 32.1 tokens per second decode speed with a time-to-first-token of 6035ms using Q4_K_M quantization.
For coding workloads, Qwen 3.6 27B on NVIDIA A30 24GB receives a S grade with 32.1 tok/s and 69K context.
On NVIDIA A30 24GB, Qwen 3.6 27B can safely use up to 69K 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-a30-24gb" 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 |
| S92 |
Q4_K_MBest for your GPU | 4 | 16.5 GB | Medium | S92 |
Q5_K_M | 5 | 19.4 GB | High | F0 |
Q6_K | 6 | 22.1 GB | High | F0 |
Q8_0 | 8 | 28.9 GB | Very High | F0 |
F16 | 16 | 55.4 GB | Maximum | F0 |