Can the NVIDIA RTX 3070 run DeepSeek R1 Distill Qwen 32B?
- FP16
- Q8_0
- Q6_K
- Q5_K_M
- Q4_K_M
- Q3_K_M
- Q2_K
No. Even at Q4_K_M, DeepSeek R1 Distill Qwen 32B needs about 22.6 GB, but the NVIDIA RTX 3070 has 8 GB usable. You could offload some layers to system RAM, but it will be very slow.
Run it on a rented GPU
On a cloud GPU with enough memory, the same command you'd use locally works:
ollama run deepseek-r1:32bAt Q4_K_M it needs about 22.6 GB, so pick a GPU with at least 24 GB.
New to this? Step-by-step setup for the RTX 3070
Run it in the cloud
Too big for the NVIDIA RTX 3070? Run DeepSeek R1 Distill Qwen 32B on a rented GPU instead.
Rent a cloud GPU by the hour. No upfront cost, stop any time. Not sure whether to rent or buy? Compare the cost.
Memory needed by quantization
At 8,192 tokens of context. The black line marks the 8 GB the NVIDIA RTX 3070 can use.
| Quant | Quality | Memory | Fits? | Speed | |
|---|---|---|---|---|---|
| FP16 | Full quality | 68.3 GB | Too big | — | |
| Q8_0 | Near-lossless | 37.6 GB | Too big | — | |
| Q6_K | Excellent | 29.6 GB | Too big | — | |
| Q5_K_M | Very good | 26.1 GB | Too big | — | |
| Q4_K_M | Good, most popular | 22.6 GB | Too big | — | |
| Q3_K_M | Noticeably degraded | 18.8 GB | Too big | — | |
| Q2_K | Heavily degraded | 15 GB | Too big | — |
GPUs that run DeepSeek R1 Distill Qwen 32B comfortably
Models that run well on the NVIDIA RTX 3070
Frequently asked questions
Can NVIDIA RTX 3070 run DeepSeek R1 Distill Qwen 32B?
No. Even at Q4_K_M, DeepSeek R1 Distill Qwen 32B needs about 22.6 GB, but the NVIDIA RTX 3070 has 8 GB usable. You could offload some layers to system RAM, but it will be very slow.
How much VRAM does DeepSeek R1 Distill Qwen 32B need?
About 22.6 GB at Q4_K_M with 8,192 tokens of context, and about 68.3 GB at full FP16 precision.
How fast is DeepSeek R1 Distill Qwen 32B on the NVIDIA RTX 3070?
It does not fit in the NVIDIA RTX 3070's memory, so most layers would run from system RAM and generation would be very slow.