Qwen 2.5 1.5B needs ~2.9 GB VRAM. RTX 3050 Ti Laptop 4GB has 4.0 GB. With Q4_K_M quantization, expect ~21 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
21.0 tok/s
TTFT
9219 ms
Safe context
56K
Memory
2.9 GB / 4.0 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 | 21.0 tok/s | 5029 ms | 56K |
| Coding | B | Runs well | 21.0 tok/s | 9219 ms | 56K |
| Agentic Coding | B | Tight fit | 21.0 tok/s | 13410 ms | 56K |
| Reasoning | B | Runs well | 21.0 tok/s | 10895 ms | 56K |
| RAG | B | Tight fit | 21.0 tok/s | 16762 ms | 56K |
How Qwen 2.5 1.5B (1.5B params) fits at each quantization level on RTX 3050 Ti Laptop 4GB (4.0 GB usable).
| Quant | Bits | VRAM | Quality | Fit |
|---|---|---|---|---|
Q2_K | 2 | 0.6 GB | Low | B64 |
Q3_K_S | 3 | 0.7 GB | Low | B64 |
NVFP4 | 4 | 0.8 GB | Medium | B64 |
Q4_K_M | 4 | 0.9 GB | Medium | B64 |
Q5_K_M | 5 | 1.1 GB | High | B64 |
Q6_K | 6 | 1.2 GB | High | B64 |
Q8_0Best for your GPU | 8 | 1.6 GB | Very High | B63 |
F16 | 16 | 3.1 GB | Maximum | F0 |
Copy-paste commands to run Qwen 2.5 1.5B on your machine.
Run
ollama run qwen2.5:1.5bYes, RTX 3050 Ti Laptop 4GB can run Qwen 2.5 1.5B with a B grade (Runs well). Expected decode speed: 21.0 tok/s.
Qwen 2.5 1.5B (1.5B parameters) requires approximately 2.9 GB of memory with Q4_K_M quantization.
The recommended quantization for Qwen 2.5 1.5B is Q4_K_M, which balances quality and memory efficiency.
On RTX 3050 Ti Laptop 4GB, Qwen 2.5 1.5B achieves approximately 21.0 tokens per second decode speed with a time-to-first-token of 9219ms using Q4_K_M quantization.
For coding workloads, Qwen 2.5 1.5B on RTX 3050 Ti Laptop 4GB receives a B grade with 21.0 tok/s and 56K context.
On RTX 3050 Ti Laptop 4GB, Qwen 2.5 1.5B can safely use up to 56K 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-2.5-1.5b-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: