Qwen 2.5 3B needs ~6.0 GB VRAM. RTX 2060 Super 8GB has 8.0 GB. With Q4_K_M quantization, expect ~42 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
42.0 tok/s
TTFT
4610 ms
Safe context
30K
Memory
6.0 GB / 8.0 GB
This setup is broadly balanced for this model.
Older PCIe generation
PCIe 3.0 is workable, but it compounds the penalty when you offload heavily or try to scale across multiple cards.
| Workload | Grade | Fit | Decode | TTFT | Context |
|---|---|---|---|---|---|
| Chat | A | Runs well | 42.0 tok/s | 2514 ms | 30K |
| Coding | A | Runs well | 42.0 tok/s | 4610 ms | 30K |
| Agentic Coding | A | Runs with offload (needs ~0 GB host RAM) | 42.0 tok/s | 6705 ms | 30K |
| Reasoning | A | Runs well | 42.0 tok/s | 5448 ms | 30K |
| RAG | A | Runs with offload (needs ~0 GB host RAM) | 42.0 tok/s | 8381 ms | 30K |
How Qwen 2.5 3B (3B params) fits at each quantization level on RTX 2060 Super 8GB (8.0 GB usable).
| Quant | Bits | VRAM | Quality | Fit |
|---|---|---|---|---|
Q2_K | 2 | 1.2 GB | Low | B69 |
Q3_K_S | 3 | 1.5 GB | Low | B70 |
NVFP4 | 4 | 1.7 GB | Medium | A70 |
Q4_K_M | 4 | 1.8 GB | Medium | A70 |
Q5_K_M | 5 | 2.2 GB | High | A71 |
Q6_K | 6 | 2.5 GB | High | A72 |
Q8_0Best for your GPU | 8 | 3.2 GB | Very High | A73 |
F16 | 16 | 6.1 GB | Maximum | F0 |
Copy-paste commands to run Qwen 2.5 3B on your machine.
Run
ollama run qwen2.5:3bYour hardware
| Model | Params | Grade | Decode | Capabilities |
|---|---|---|---|---|
 Qwen 3.5 4B | 4B | S | 56 tok/s | |
| Qwen 3 8B | 8B | A | 31.6 tok/s | |
 Phi-4 Mini Reasoning 4B | 3.8B | S | 53.2 tok/s | |
 Nemotron Nano 8B | 8B | A | 33.6 tok/s | |
 InternVL2 8B | 8B | A | 33.6 tok/s |
Yes, RTX 2060 Super 8GB can run Qwen 2.5 3B with a A grade (Runs well). Expected decode speed: 42.0 tok/s.
Qwen 2.5 3B (3B parameters) requires approximately 6.0 GB of memory with Q4_K_M quantization.
The recommended quantization for Qwen 2.5 3B is Q4_K_M, which balances quality and memory efficiency.
On RTX 2060 Super 8GB, Qwen 2.5 3B achieves approximately 42.0 tokens per second decode speed with a time-to-first-token of 4610ms using Q4_K_M quantization.
For coding workloads, Qwen 2.5 3B on RTX 2060 Super 8GB receives a A grade with 42.0 tok/s and 30K context.
On RTX 2060 Super 8GB, Qwen 2.5 3B can safely use up to 30K 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-2.5-3b-on-rtx-2060-super-8gb" width="400" height="180" frameborder="0" style="border:none;border-radius:12px;overflow:hidden;" title="Will It Run AI — fit result"></iframe>
Preview: