Can I Run Cogito v1 14B on NVIDIA GeForce RTX 5090?
Written by Jakub Rusinowski · Last updated September 29, 2026
Yes. Cogito v1 14B needs 10.9 GB at 8K context (8.5 GB weights + 2.4 GB KV cache/overhead) at Q4_K_M and the NVIDIA GeForce RTX 5090 has 32 GB, leaving about 21.1 GB of headroom, at roughly 120 tok/s (estimated) with room for up to 64K of context.
See what else this hardware can run →
The numbers
| Model | Cogito v1 14B |
| Parameters | 14B |
| Quantization | Q4_K_M |
| VRAM needed (8K context) | 10.9 GB |
| NVIDIA GeForce RTX 5090 VRAM | 32 GB |
| Verdict | Runs |
| Max context | 64K |
| Estimated speed | ~120 tok/s |
Cogito v1 14B on the NVIDIA GeForce RTX 5090: VRAM by quantization
| Quant | VRAM needed | Fits 32 GB? | Max context | Whole PC |
|---|---|---|---|---|
| F16 | 30.4 GB | ✓ Yes | 8K | — |
| Q8_0 | 17.3 GB | ✓ Yes | 64K | — |
| Q6_K | 13.9 GB | ✓ Yes | 64K | — |
| Q5_K_M | 12.3 GB | ✓ Yes | 64K | — |
| Q4_K_M | 10.9 GB | ✓ Yes | 64K | — |
| Q3_K_M | 8.4 GB | ✓ Yes | 64K | — |
| Q2_K | 7 GB | ✓ Yes | 128K | — |
Assumes an 8K-token context with an f16 KV cache. A longer window needs more; a quantized KV cache needs less. “Max context” is the largest window that still fits in 32 GB. Figures are estimates from parameter count, quantization and memory bandwidth — the analyzer lets you tune KV-cache quant and context.
Context costs VRAM too. At Q4_K_M on the NVIDIA GeForce RTX 5090: 8K 10.9 GB · 32K 15.7 GB · 128K 35 GB ✗. Past 128K it no longer fits 32 GB — a q8_0 KV cache buys roughly half of that back, which the calculator will price for you.
What to do next
Nothing to change — run it at Q4_K_M. If you want more capability, check whether the next size up also fits.
No compatible GPU? Cogito v1 14B on 16 GB of system RAM, CPU only: runs, but it is tight.
Running Cogito v1 14B on this card:
At 2 hrs/day, buying (~$1,999) beats renting at $0.34/hr after about 8.2 years.
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Cloud rates verified 2026-07 — estimates, and marketplace prices vary. Buying price is GPU MSRP only, not a full PC.
Other Cogito v1 sizes on the NVIDIA GeForce RTX 5090
- Cogito v1 70B — runs at a lower quant (45.7 GB)
- Cogito v1 32B — runs (22.3 GB)
- Cogito v1 8B — runs (6.7 GB)
- Cogito v1 3B — runs (3.6 GB)
Cogito v1 14B on nearby hardware
- AMD Radeon RX 7900 XTX (24 GB) — runs
- Apple M3 Pro (36 GB) — runs
All Cogito v1 sizes on the NVIDIA GeForce RTX 5090 | Cogito v1 14B model page | NVIDIA GeForce RTX 5090 GPU page | VRAM calculator | Check your hardware