Can the NVIDIA RTX 5080 run DeepSeek R1 Distill Qwen 32B?
- FP16
- Q8_0
- Q6_K
- Q5_K_M
- Q4_K_M
- Q3_K_M
- Q2_K
Only just. DeepSeek R1 Distill Qwen 32B fits on the NVIDIA RTX 5080 at Q2_K, which costs noticeable quality. Expect about 47 tokens/second. A card with more memory is a better experience.
Run it with Ollama
Ollama's default deepseek-r1:32b download is Q4_K_M, which needs about 22.6 GB, more than the 16 GB available. Download the Q2_K GGUF instead (LM Studio lists quants per model), or try a smaller context length.
New to this? Step-by-step setup for the RTX 5080
Run it in the cloud
Want full quality? Run DeepSeek R1 Distill Qwen 32B on a bigger rented GPU.
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 16 GB the NVIDIA RTX 5080 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 | Fits | ~47 tok/s |
GPUs that run DeepSeek R1 Distill Qwen 32B comfortably
Frequently asked questions
Can NVIDIA RTX 5080 run DeepSeek R1 Distill Qwen 32B?
Only just. DeepSeek R1 Distill Qwen 32B fits on the NVIDIA RTX 5080 at Q2_K, which costs noticeable quality. Expect about 47 tokens/second. A card with more memory is a better experience.
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 5080?
Roughly 47 tokens per second at Q2_K, estimated from the NVIDIA RTX 5080's 960 GB/s memory bandwidth.