Qwen 3.6 27B needs ~20.7 GB VRAM. RTX A5500 24GB has 24.0 GB. With Q4_K_M quantization, expect ~30 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
29.9 tok/s
TTFT
6483 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 | 29.9 tok/s | 3536 ms | 69K |
| Coding | S | Tight fit | 29.9 tok/s | 6483 ms | 69K |
| Agentic Coding | S | Tight fit | 29.9 tok/s | 9430 ms | 69K |
| Reasoning | S | Runs with offload | 27.6 tok/s | 8301 ms | 17K |
| RAG | S | Tight fit | 29.9 tok/s | 11788 ms | 69K |
How Qwen 3.6 27B (27B params) fits at each quantization level on RTX A5500 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 | 90.6 tok/s |
Yes, RTX A5500 24GB can run Qwen 3.6 27B with a S grade (Tight fit). Expected decode speed: 29.9 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 RTX A5500 24GB, Qwen 3.6 27B achieves approximately 29.9 tokens per second decode speed with a time-to-first-token of 6483ms using Q4_K_M quantization.
For coding workloads, Qwen 3.6 27B on RTX A5500 24GB receives a S grade with 29.9 tok/s and 69K context.
On RTX A5500 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-rtx-a5500-24gb" 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 |