DeepSeek on NVIDIA Ada
Can I run DeepSeek-R1-Distill-Qwen 32B on an RTX 4070 Super?
Not at Q4_K_M — it needs 21.5 GB against 10.5 GB available. You would need 3 of these cards.
Won't fit
21.5 GB of 10.5 GB · 205%022 GB
Weights
18.6 GB
KV cache
2.0 GB
Runtime overhead
0.8 GB
Over the limit
11.0 GB
Short by 11.0 GB. You can run it with 26 of 64 layers on the RTX 4070 Super and the rest in system RAM, at roughly 3.02 tok/s — usable for batch work, painful for chat. A smaller quantisation or a shorter context is usually the better trade.
Generation3.02tok/s
Prompt processing455tok/s
Max context0tokens
KV per 1K tokens0GB
Every quantisation of DeepSeek-R1-Distill-Qwen 32B on a RTX 4070 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 | 61.0 GB | 63.9 GB | Won't fit | — | 0.69 |
| INT8 / W8A8 | 8.50 | 32.1 GB | 34.9 GB | Won't fit | — | 1.45 |
| Q8_0 (GGUF) | 8.50 | 32.1 GB | 34.9 GB | Won't fit | — | 1.45 |
| FP8 (E4M3) | 8.00 | 30.5 GB | 33.3 GB | Won't fit | — | 1.55 |
| Q6_K | 6.56 | 25.0 GB | 27.9 GB | Won't fit | — | 1.98 |
| Q5_K_M | 5.67 | 21.6 GB | 24.5 GB | Won't fit | — | 2.42 |
| Q5_K_S | 5.52 | 21.1 GB | 23.9 GB | Won't fit | — | 2.53 |
| Q4_K_M | 4.85 | 18.6 GB | 21.5 GB | Won't fit | — | 3.02 |
| AWQ 4-bit | 4.25 | 18.3 GB | 21.2 GB | Won't fit | — | 3.06 |
| GPTQ 4-bit | 4.25 | 18.3 GB | 21.2 GB | Won't fit | — | 3.06 |
| MXFP4 | 4.25 | 18.3 GB | 21.2 GB | Won't fit | — | 3.06 |
| Q4_K_S | 4.58 | 17.6 GB | 20.5 GB | Won't fit | — | 3.25 |
| Q4_0 | 4.55 | 17.5 GB | 20.4 GB | Won't fit | — | 3.27 |
| IQ4_XS | 4.25 | 16.4 GB | 19.3 GB | Won't fit | — | 3.63 |
| Q3_K_M | 3.91 | 15.2 GB | 18.0 GB | Won't fit | — | 4.19 |
| IQ3_M | 3.70 | 14.4 GB | 17.3 GB | Won't fit | — | 4.50 |
| IQ3_XXS | 3.06 | 12.1 GB | 15.0 GB | Won't fit | — | 6.41 |
| Q2_K | 2.63 | 10.6 GB | 13.4 GB | Won't fit | — | 8.87 |
| IQ2_XXS | 2.06 | 8.5 GB | 11.3 GB | Won't fit | 5K | 18.0 |
| IQ1_M | 1.75 | 7.4 GB | 10.2 GB | Fits, but tight | 9K | 35.7 |