Intel Arc B580 12GBBudget pickC39.9 tok/s decode
~$249 MSRP
Can it run?
Too heavy
Using Q4_K_M in Ollama
Fit status
Too heavy
Decode
44.1 tok/s
TTFT
4393 ms
Safe context
11K
Memory
8.7 GB / 6.0 GB
| Workload | Grade | Fit | Decode | TTFT | Context |
|---|---|---|---|---|---|
| Agentic Coding | F | Too heavy | 33.7 tok/s | 8366 ms | 19K |
| Chat | F | Too heavy | 33.7 tok/s | 3137 ms | 6K |
| Coding | F | Too heavy | 44.1 tok/s | 4393 ms | 11K |
| RAG | F | Too heavy | 33.7 tok/s | 10457 ms | 19K |
| Reasoning | F | Too heavy | 33.7 tok/s | 6797 ms | 11K |
How Qwen3.5 9B Uncensored HauhauCS Aggressive (9B params) fits at each quantization level on GTX 1660 Super 6GB (6.0 GB usable).
| Quant | Bits | VRAM | Quality | Fit |
|---|---|---|---|---|
Q2_KBest for your GPU | 2 | 3.5 GB | Low | C42 |
Q3_K_S | 3 | 4.4 GB | Low | C45 |
Upgrade options
Intel Arc B580 12GBBudget pick~$249 MSRP
RTX 3060 12GBBest value~$329 MSRP
RTX 3080 12GBBiggest leap~$799 MSRP
RTX 3080 Ti 12GBNVIDIA upgrade~$1,199 MSRP
NVFP4 |
| 4 |
5.0 GB |
| Medium |
| C45 |
Q4_K_M | 4 | 5.5 GB | Medium | C45 |
Q5_K_M | 5 | 6.5 GB | High | F0 |
Q6_K | 6 | 7.4 GB | High | F0 |
Q8_0 | 8 | 9.6 GB | Very High | F0 |
F16 | 16 | 18.5 GB | Maximum | F0 |