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// RUN — FITS
Can the NVIDIA GeForce RTX 3080 10GB run DeepSeek-R1-Distill-Qwen-1.5B?
Yes — here's how fast and up to what context, with real measured numbers.
DeepSeek-R1-Distill-Qwen-1.5B on the NVIDIA GeForce RTX 3080 10GB
| Quant | Fits? | Max context | Speed | Beyond context |
|---|---|---|---|---|
| FP16 | yes | 63k | 155.8-185.7 t/s | ~8.2-9.8 (slow) |
| Q8 | yes | 90k | 311.7-371.5 t/s | ~16.4-19.6 (slow) |
| Q4 | yes | 102k | 556.6-663.3 t/s | ~29.3-34.9 (slow) |
Estimate (memory-bound). Beyond "max context" the KV cache spills to system RAM offload (depends on your system RAM) and speed drops to the "beyond" figure.
→ All models on the NVIDIA GeForce RTX 3080 10GB
→ DeepSeek-R1-Distill-Qwen-1.5B specs
→ Other hardware
FAQ
Can the NVIDIA GeForce RTX 3080 10GB run DeepSeek-R1-Distill-Qwen-1.5B?▶
Yes. At Q4 it generates ~556.6-663.3 tok/s and fits up to 102k context; beyond that it spills to system RAM offload (depends on your system RAM) and slows to ~29.3-34.9 tok/s.
How much context fits?▶
At Q4, up to about 102k tokens stay in fast memory; longer context spills to system RAM offload (depends on your system RAM) and throughput collapses.