RTX 2060 6GBBudget pickB157 tok/s decode
~$349 MSRP
Can it run?
Tight fit
Using Q4_K_M in Ollama
Fit status
Tight fit
Decode
113.3 tok/s
TTFT
1709 ms
Safe context
18K
Memory
3.6 GB / 4.0 GB
| Workload | Grade | Fit | Decode | TTFT | Context |
|---|---|---|---|---|---|
| Agentic Coding | C | Tight fit | 122.8 tok/s | 2294 ms | 35K |
| Chat | C | Tight fit | 122.8 tok/s | 860 ms | 9K |
| Coding | C | Tight fit | 113.3 tok/s | 1709 ms | 18K |
| RAG | C | Tight fit | 122.8 tok/s | 2868 ms | 35K |
| Reasoning | C | Tight fit | 122.8 tok/s | 1864 ms | 18K |
How Gemmasutra Mini 2B v1 (2B params) fits at each quantization level on RTX 3050 Ti Laptop 4GB (4.0 GB usable).
| Quant | Bits | VRAM | Quality | Fit |
|---|---|---|---|---|
Q2_K | 2 | 0.8 GB | Low | D34 |
Q3_K_S | 3 | 1.0 GB | Low | D35 |
NVFP4 | 4 |
Upgrade options
RTX 2060 6GBBudget pick~$349 MSRP
GTX 1060 6GBBiggest leap
GTX 1660 Super 6GBNVIDIA upgrade
| Medium |
| D35 |
Q4_K_M | 4 | 1.2 GB | Medium | D36 |
Q5_K_M | 5 | 1.4 GB | High | D37 |
Q6_KBest for your GPU | 6 | 1.6 GB | High | D38 |
Q8_0 | 8 | 2.1 GB | Very High | C41 |
F16 | 16 | 4.1 GB | Maximum | F0 |