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// RUN — FITS
Can the NVIDIA GeForce RTX 5090 run DeepSeek Coder 6.7B?
Yes — here's how fast and up to what context, with real measured numbers.
DeepSeek Coder 6.7B on the NVIDIA GeForce RTX 5090
| Quant | Fits? | Max context | Speed | Beyond context |
|---|---|---|---|---|
| FP16 | yes | 111k | 97.6-116.3 t/s | ~2.2-2.6 (slow) |
| Q8 | yes | 162k | 195.2-232.7 t/s | ~4.4-5.2 (slow) |
| Q4 | yes | 185k | 348.7-415.5 t/s | ~7.8-9.3 (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.
FAQ
Can the NVIDIA GeForce RTX 5090 run DeepSeek Coder 6.7B?▶
Yes. At Q4 it generates ~348.7-415.5 tok/s and fits up to 185k context; beyond that it spills to system RAM offload (depends on your system RAM) and slows to ~7.8-9.3 tok/s.
How much context fits?▶
At Q4, up to about 185k tokens stay in fast memory; longer context spills to system RAM offload (depends on your system RAM) and throughput collapses.