MacBook Pro M3 24GBBudget pick
24 GB Unified (+8)
B
This setup is broadly balanced for this model.28 tok/s decode
~$1,099 MSRP
Qwen 3.5 2B needs ~5.4 GB VRAM. RTX 4080 Super 16GB has 16.0 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
Runs well
Decode
32.0 tok/s
TTFT
6050 ms
Safe context
115K
Memory
5.4 GB / 16.0 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 | B | Runs well | 32.0 tok/s | 3300 ms | 115K |
| Coding | B | Runs well | 32.0 tok/s | 6050 ms | 115K |
| Agentic Coding | A | Runs well | 32.0 tok/s | 8800 ms | 115K |
| Reasoning | B | Runs well | 32.0 tok/s | 7150 ms | 115K |
| RAG | A | Runs well | 32.0 tok/s | 11000 ms | 115K |
How Qwen 3.5 2B (2B params) fits at each quantization level on RTX 4080 Super 16GB (16.0 GB usable).
| Quant | Bits | VRAM | Quality | Fit |
|---|---|---|---|---|
Q2_K | 2 | 0.8 GB | Low | B68 |
Q3_K_S | 3 | 1.0 GB | Low | B68 |
NVFP4 | 4 | 1.1 GB | Medium | B68 |
Q4_K_M | 4 | 1.2 GB | Medium | B68 |
Q5_K_M | 5 | 1.4 GB | High | B68 |
Q6_K | 6 | 1.6 GB | High | B68 |
Q8_0 | 8 | 2.1 GB | Very High | B69 |
F16Best for your GPU | 16 | 4.1 GB | Maximum | A70 |
Copy-paste commands to run Qwen 3.5 2B on your machine.
Run
ollama run qwen3.5:2bUpgrade options
Yes, RTX 4080 Super 16GB can run Qwen 3.5 2B with a B grade (Runs well). Expected decode speed: 32.0 tok/s.
Qwen 3.5 2B (2B parameters) requires approximately 5.4 GB of memory with Q4_K_M quantization.
The recommended quantization for Qwen 3.5 2B is Q4_K_M, which balances quality and memory efficiency.
On RTX 4080 Super 16GB, Qwen 3.5 2B achieves approximately 32.0 tokens per second decode speed with a time-to-first-token of 6050ms using Q4_K_M quantization.
For coding workloads, Qwen 3.5 2B on RTX 4080 Super 16GB receives a B grade with 32.0 tok/s and 115K context.
On RTX 4080 Super 16GB, Qwen 3.5 2B can safely use up to 115K tokens of context. The model's official context limit is 131K, 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-3.5-2b-on-rtx-4080-super-16gb" width="400" height="180" frameborder="0" style="border:none;border-radius:12px;overflow:hidden;" title="Will It Run AI — fit result"></iframe>
Preview: