GTX 1660 Super 6GBBudget pick6 GB VRAM (+2)336 GB/s (+144)
A
Adds memory headroom for longer context windows and future model growth.23.8 tok/s decode
Adds memory headroom for longer context windows and future model growth.
~$229 MSRP
Qwen 3 1.7B needs ~4.0 GB VRAM. RTX 3050 Ti Laptop 4GB has 4.0 GB. With Q4_K_M quantization, expect ~24 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 with offload (needs ~0 GB host RAM)
Decode
20.4 tok/s
TTFT
9490 ms
Safe context
16K
Memory
4.0 GB / 4.0 GB
This setup is broadly balanced for this model.
Very little memory headroom
You can run the model, but there is not much room left for longer context, bigger batches, extra apps, or future model updates.
Buy headroom, not only minimum fit
A slightly larger memory tier gives you safer context growth and makes the recommendation more future-proof.
| Workload | Grade | Fit | Decode | TTFT | Context |
|---|---|---|---|---|---|
| Chat | A | Runs well | 20.4 tok/s | 5176 ms | 16K |
| Coding | B | Runs with offload | 23.8 tok/s | 8134 ms | 16K |
| Agentic Coding | F | Too heavy | 20.4 tok/s | 13804 ms | 16K |
| Reasoning | B | Runs with offload (needs ~0 GB host RAM) | 20.4 tok/s | 11216 ms | 16K |
| RAG | F | Too heavy | 20.4 tok/s | 17255 ms | 16K |
How Qwen 3 1.7B (1.7000000476837158B params) fits at each quantization level on RTX 3050 Ti Laptop 4GB (4.0 GB usable).
| Quant | Bits | VRAM | Quality | Fit |
|---|---|---|---|---|
Q2_K | 2 | 0.7 GB | Low | A76 |
Q3_K_S | 3 | 0.8 GB | Low | A76 |
NVFP4 | 4 |
Copy-paste commands to run Qwen 3 1.7B on your machine.
Run
ollama run qwen3:1.7bUpgrade options
GTX 1660 Super 6GBBudget pickAdds memory headroom for longer context windows and future model growth.
~$229 MSRP
GTX 1060 6GBBest valueAdds memory headroom for longer context windows and future model growth.
~$249 MSRP
GTX 1660 Ti 6GBNVIDIA upgradeAdds memory headroom for longer context windows and future model growth.
~$279 MSRP
Yes, RTX 3050 Ti Laptop 4GB can run Qwen 3 1.7B with a B grade (Runs with offload). Expected decode speed: 23.8 tok/s.
Qwen 3 1.7B (1.7000000476837158B parameters) requires approximately 4.0 GB of memory with Q4_K_M quantization.
The recommended quantization for Qwen 3 1.7B is Q4_K_M, which balances quality and memory efficiency.
On RTX 3050 Ti Laptop 4GB, Qwen 3 1.7B achieves approximately 23.8 tokens per second decode speed with a time-to-first-token of 8134ms using Q4_K_M quantization.
For coding workloads, Qwen 3 1.7B on RTX 3050 Ti Laptop 4GB receives a B grade with 23.8 tok/s and 16K context.
On RTX 3050 Ti Laptop 4GB, Qwen 3 1.7B can safely use up to 16K tokens of context. The model's official context limit is 33K, 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-3-1.7b-on-rtx-3050-ti-laptop-4gb" width="400" height="180" frameborder="0" style="border:none;border-radius:12px;overflow:hidden;" title="Will It Run AI — fit result"></iframe>
Preview:
| Medium |
| A75 |
Q4_K_M | 4 | 1.0 GB | Medium | A75 |
Q5_K_M | 5 | 1.2 GB | High | A75 |
Q6_K | 6 | 1.4 GB | High | A75 |
Q8_0Best for your GPU | 8 | 1.8 GB | Very High | A75 |
F16 | 16 | 3.5 GB | Maximum | F0 |
Buy headroom, not only minimum fit. A slightly larger memory tier gives you safer context growth and makes the recommendation more future-proof.