Can the GeForce RTX 5060 run DeepSeek R1 Distill Qwen 32B?
Does not fit at Q4_K_M.
DeepSeek R1 Distill Qwen 32B is 32.8B parameters. At Q4_K_M the weights are about 18.3 GiB; with the 1.5 GiB runtime reserve that is 19.8 GiB against the card's 8GB, about 11.8 GiB more than the card has.
All three quants
8GB card| Quant | Weights | With reserve | Verdict | Headroom |
|---|---|---|---|---|
| Q4_K_Mthe everyday quant | 18.3 GiB | 19.8 GiB | Does not fit | short 11.8 GiB |
| Q8_0near-lossless | 32.4 GiB | 33.9 GiB | Does not fit | short 25.9 GiB |
| FP16full weights | 61.1 GiB | 62.6 GiB | Does not fit | short 54.6 GiB |
Verdict rules: fits comfortably when weights plus reserve sit within 85% of VRAM; tight when they fit with little left for context; CPU offload when they exceed VRAM by up to 2x (runs, slowly, with layers in system RAM); no beyond that. The KV cache per token depends on the model's architecture and is not modelled here.
The numbers for this pairing
At Q4_K_M the weights take about 18.3 GiB, so with the 1.5 GiB runtime reserve it needs 19.8 GB: 11.8 GB more than the card's 8 GB.
No version of it fits entirely in this card's memory, so it would lean on system RAM and run far slower.
The cheapest card on our list that runs it comfortably at Q4 is the Radeon RX 7900 XTX at about $850, against about $410 for this card.
At about $410, this card costs roughly $51 per GB of VRAM.
Running it at its full 145 W board power for 4 hours a day would use about 17 kWh a month, about $3.20 at the US average residential rate of 18.4 cents per kWh (2026-05); real use sits below that ceiling.
Prices are the lowest current listings our tracker saw on Oct 7, 2026, since averages include premium variants; launch prices are marked where we have no listing.
Not this card. These fit it comfortably at Q4.
- GeForce RTX 5090 32GB · headroom 12.2 GiB
- GeForce RTX 3090 (used) 24GB · headroom 4.2 GiB
- GeForce RTX 4090 (used) 24GB · headroom 4.2 GiB
- Radeon RX 7900 XTX 24GB · headroom 4.2 GiB
What the GeForce RTX 5060 does run well → · DeepSeek R1 Distill Qwen 32B on every card →
About the model
DeepSeek R1 Distill Qwen 32B by DeepSeek: 131,072-token native context, text, released 2025 under the MIT. Model card →