Qwen on NVIDIA Ada
Can I run Qwen3 30B-A3B on an RTX 4070 Ti Super?
Not at Q4_K_M — it needs 18.8 GB against 14.2 GB available. Drop to IQ3_XXS and it fits, at about 116 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 4070 Ti Super and the rest in system RAM, at roughly 40.2 tok/s — usable for batch work, painful for chat. A smaller quantisation or a shorter context is usually the better trade.
Generation40.2tok/s
Prompt processing5533tok/s
Max context0tokens
KV per 1K tokens0GB
Every quantisation of Qwen3 30B-A3B on a RTX 4070 Ti Super
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 | — | 6.92 |
| INT8 / W8A8 | 8.50 | 30.1 GB | 31.6 GB | Won't fit | — | 15.5 |
| Q8_0 (GGUF) | 8.50 | 30.1 GB | 31.6 GB | Won't fit | — | 15.5 |
| FP8 (E4M3) | 8.00 | 28.4 GB | 30.0 GB | Won't fit | — | 16.7 |
| Q6_K | 6.56 | 23.3 GB | 24.9 GB | Won't fit | — | 22.9 |
| Q5_K_M | 5.67 | 20.2 GB | 21.7 GB | Won't fit | — | 29.4 |
| Q5_K_S | 5.52 | 19.6 GB | 21.2 GB | Won't fit | — | 31.1 |
| Q4_K_M | 4.85 | 17.3 GB | 18.8 GB | Won't fit | — | 40.2 |
| Q4_K_S | 4.58 | 16.3 GB | 17.9 GB | Won't fit | — | 45.8 |
| Q4_0 | 4.55 | 16.2 GB | 17.8 GB | Won't fit | — | 46.0 |
| AWQ 4-bit | 4.25 | 16.0 GB | 17.5 GB | Won't fit | — | 48.9 |
| GPTQ 4-bit | 4.25 | 16.0 GB | 17.5 GB | Won't fit | — | 48.9 |
| MXFP4 | 4.25 | 16.0 GB | 17.5 GB | Won't fit | — | 48.9 |
| IQ4_XS | 4.25 | 15.2 GB | 16.7 GB | Won't fit | — | 56.0 |
| Q3_K_M | 3.91 | 14.0 GB | 15.5 GB | Won't fit | — | 70.4 |
| IQ3_M | 3.70 | 13.3 GB | 14.8 GB | Won't fit | 2K | 83.3 |
| IQ3_XXS | 3.06 | 11.1 GB | 12.6 GB | Runs comfortably | 26K | 116 |
| Q2_K | 2.63 | 9.6 GB | 11.1 GB | Runs comfortably | 42K | 122 |
| IQ2_XXS | 2.06 | 7.6 GB | 9.1 GB | Runs comfortably | 63K | 132 |
| IQ1_M | 1.75 | 6.5 GB | 8.0 GB | Runs comfortably | 74K | 139 |