Qwen on NVIDIA Ada
Can I run Qwen3 30B-A3B on an RTX 4060 Ti 16GB?
Not at Q4_K_M — it needs 18.8 GB against 14.2 GB available. Drop to IQ3_XXS and it fits, at about 67.8 tokens per second.
Won't fit
18.8 GB of 14.2 GB · 132%020 GB
Weights
17.3 GB
KV cache
0.8 GB
Runtime overhead
0.8 GB
Over the limit
4.6 GB
Short by 4.6 GB. You can run it with 35 of 48 layers on the RTX 4060 Ti 16GB and the rest in system RAM, at roughly 32.0 tok/s — usable for batch work, painful for chat. A smaller quantisation or a shorter context is usually the better trade.
Generation32.0tok/s
Prompt processing2766tok/s
Max context0tokens
KV per 1K tokens0GB
Every quantisation of Qwen3 30B-A3B on a RTX 4060 Ti 16GB
Highlighted row is the highest quality that still fits at 8K context.
| Quantisation | bpw | Weights | Total | Verdict | Max ctx | tok/s |
|---|---|---|---|---|---|---|
| FP16 / BF16 | 16.00 | 56.9 GB | 58.4 GB | Won't fit | — | 6.68 |
| INT8 / W8A8 | 8.50 | 30.1 GB | 31.6 GB | Won't fit | — | 14.2 |
| Q8_0 (GGUF) | 8.50 | 30.1 GB | 31.6 GB | Won't fit | — | 14.2 |
| FP8 (E4M3) | 8.00 | 28.4 GB | 30.0 GB | Won't fit | — | 15.3 |
| Q6_K | 6.56 | 23.3 GB | 24.9 GB | Won't fit | — | 20.1 |
| Q5_K_M | 5.67 | 20.2 GB | 21.7 GB | Won't fit | — | 24.9 |
| Q5_K_S | 5.52 | 19.6 GB | 21.2 GB | Won't fit | — | 26.1 |
| Q4_K_M | 4.85 | 17.3 GB | 18.8 GB | Won't fit | — | 32.0 |
| Q4_K_S | 4.58 | 16.3 GB | 17.9 GB | Won't fit | — | 35.4 |
| Q4_0 | 4.55 | 16.2 GB | 17.8 GB | Won't fit | — | 35.6 |
| AWQ 4-bit | 4.25 | 16.0 GB | 17.5 GB | Won't fit | — | 37.1 |
| GPTQ 4-bit | 4.25 | 16.0 GB | 17.5 GB | Won't fit | — | 37.1 |
| MXFP4 | 4.25 | 16.0 GB | 17.5 GB | Won't fit | — | 37.1 |
| IQ4_XS | 4.25 | 15.2 GB | 16.7 GB | Won't fit | — | 41.0 |
| Q3_K_M | 3.91 | 14.0 GB | 15.5 GB | Won't fit | — | 48.1 |
| IQ3_M | 3.70 | 13.3 GB | 14.8 GB | Won't fit | 2K | 53.8 |
| IQ3_XXS | 3.06 | 11.1 GB | 12.6 GB | Runs comfortably | 26K | 67.8 |
| Q2_K | 2.63 | 9.6 GB | 11.1 GB | Runs comfortably | 42K | 73.3 |
| IQ2_XXS | 2.06 | 7.6 GB | 9.1 GB | Runs comfortably | 63K | 82.1 |
| IQ1_M | 1.75 | 6.5 GB | 8.0 GB | Runs comfortably | 74K | 87.8 |