RX 7900 XTX 24GBBest value
C99.4 tok/s decode
~$999 MSRP
Can it run?
Very compromised (needs ~1.4 GB host RAM)
Using Q4_K_M in vLLM
Fit status
Very compromised (needs ~1.4 GB host RAM)
Decode
19.7 tok/s
TTFT
9843 ms
Safe context
15K
Memory
25.0 GB / 23.0 GB
Offload
10%
| Workload | Grade | Fit | Decode | TTFT | Context |
|---|---|---|---|---|---|
| Agentic Coding | D | Very compromised (needs ~1.5 GB host RAM) | 19.6 tok/s | 14340 ms | 29K |
| Chat | D | Very compromised (needs ~1.4 GB host RAM) | 19.7 tok/s | 5369 ms | 7K |
| Coding | D | Very compromised (needs ~1.4 GB host RAM) | 19.7 tok/s | 9843 ms | 15K |
| RAG | D | Very compromised (needs ~1.5 GB host RAM) | 19.6 tok/s | 17924 ms | 29K |
| Reasoning | D | Very compromised (needs ~1.4 GB host RAM) | 19.7 tok/s | 11633 ms | 15K |
How Qwen3-VL 30B A3B Instruct (30B params) fits at each quantization level on MacBook Pro M2 Pro 32GB (23.0 GB usable).
| Quant | Bits | VRAM | Quality | Fit |
|---|---|---|---|---|
Q2_K | 2 | 11.7 GB | Low | C40 |
Q3_K_S | 3 | 14.7 GB | Low | C43 |
NVFP4Best for your GPU | 4 | 16.8 GB | Medium | C45 |
Q4_K_M | 4 | 18.3 GB | Medium | C45 |
Q5_K_M | 5 | 21.6 GB | High | C45 |
Q6_K | 6 | 24.6 GB | High | F0 |
Q8_0 | 8 | 32.1 GB | Very High | F0 |
F16 | 16 | 61.5 GB | Maximum | F0 |
huggingface-cli download qwen-3-vl-30b-a3bUpgrade options
~$999 MSRP
~$1,099 MSRP
~$2,499 MSRP