Intel Arc B580 12GBBudget pickC39.9 tok/s decode
~$249 MSRP
Can it run?
Very compromised (needs ~0.6 GB host RAM)
Using Q4_K_M in Ollama
Fit status
Very compromised (needs ~0.6 GB host RAM)
Decode
32.0 tok/s
TTFT
6054 ms
Safe context
14K
Memory
8.9 GB / 8.0 GB
Offload
10%
| Workload | Grade | Fit | Decode | TTFT | Context |
|---|---|---|---|---|---|
| Agentic Coding | F | Too heavy | 35.0 tok/s | 8052 ms | 25K |
| Chat | C | Runs with offload (needs ~0.2 GB host RAM) | 33.9 tok/s | 3112 ms | 8K |
| Coding | C | Very compromised (needs ~0.6 GB host RAM) | 32.0 tok/s | 6054 ms | 14K |
| RAG | F | Too heavy | 35.0 tok/s | 10065 ms | 25K |
| Reasoning | C | Very compromised (needs ~0.6 GB host RAM) | 32.0 tok/s | 7155 ms | 14K |
How Qwen3.5 9B (9B params) fits at each quantization level on RTX 4060 Laptop 8GB (8.0 GB usable).
| Quant | Bits | VRAM | Quality | Fit |
|---|---|---|---|---|
Q2_K | 2 | 3.5 GB | Low | D39 |
Q3_K_S | 3 | 4.4 GB | Low | C41 |
NVFP4Best for your GPU | 4 | 5.0 GB | Medium | C43 |
Q4_K_M | 4 | 5.5 GB | Medium | C44 |
Q5_K_M | 5 | 6.5 GB | High | C45 |
Q6_K | 6 | 7.4 GB | High | C45 |
Q8_0 | 8 | 9.6 GB | Very High | F0 |
F16 | 16 | 18.5 GB | Maximum | F0 |
huggingface-cli download hf-unsloth--qwen3-5-9b-ggufUpgrade 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