RTX 2060 6GBBudget pickC191.5 tok/s decode
~$349 MSRP
Can it run?
Tight fit
Using Q4_K_M in Ollama
Fit status
Tight fit
Decode
80.6 tok/s
TTFT
2401 ms
Safe context
19K
Memory
3.3 GB / 4.0 GB
| Workload | Grade | Fit | Decode | TTFT | Context |
|---|---|---|---|---|---|
| Agentic Coding | C | Tight fit | 54.9 tok/s | 5131 ms | 39K |
| Chat | C | Tight fit | 54.9 tok/s | 1924 ms | 10K |
| Coding | C | Tight fit | 80.6 tok/s | 2401 ms | 19K |
| RAG | C | Tight fit | 54.9 tok/s | 6414 ms | 39K |
| Reasoning | C | Tight fit | 54.9 tok/s | 4169 ms | 19K |
How DeepSeek R1 Distill Qwen 1.5B (1.5B params) fits at each quantization level on Intel Arc A370M 4GB (4.0 GB usable).
| Quant | Bits | VRAM | Quality | Fit |
|---|---|---|---|---|
Q2_K | 2 | 0.6 GB | Low | D33 |
Q3_K_S | 3 | 0.7 GB | Low | D33 |
NVFP4 | 4 |
Upgrade options
RTX 2060 6GBBudget pick~$349 MSRP
Intel Arc A380 6GBBiggest leap
Intel Arc Pro A40 6GBIntel upgrade
0.8 GB |
| Medium |
| D34 |
Q4_K_M | 4 | 0.9 GB | Medium | D34 |
Q5_K_M | 5 | 1.1 GB | High | D35 |
Q6_K | 6 | 1.2 GB | High | D36 |
Q8_0Best for your GPU | 8 | 1.6 GB | Very High | D38 |
F16 | 16 | 3.1 GB | Maximum | C44 |