Can I Run Cogito v1 on NVIDIA GeForce RTX 4080?
Written by Jakub Rusinowski · Last updated July 12, 2026
Yes, comfortably — Cogito v1 14B at Q4_K_M needs 10.9 GB at 8K context (8.5 GB weights + 2.4 GB KV cache/overhead), leaving ~5.1 GB of the NVIDIA GeForce RTX 4080's 16 GB, at ~62 tok/s (est.), with room for up to 32K context.
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NVIDIA GeForce RTX 4080 Specs
| VRAM | 16 GB |
| Memory Bandwidth | 717 GB/s |
Cogito v1 14B on the NVIDIA GeForce RTX 4080: VRAM by quantization
| Quant | VRAM needed | Fits 16 GB? | Max context | Whole PC |
|---|---|---|---|---|
| F16 | 30.4 GB | ✗ No | — | — |
| Q8_0 | 17.3 GB | ✗ No | — | — |
| Q6_K | 13.9 GB | ✓ Yes | 16K | — |
| Q5_K_M | 12.3 GB | ✓ Yes | 16K | — |
| Q4_K_M | 10.9 GB | ✓ Yes | 32K | — |
| Q3_K_M | 8.4 GB | ✓ Yes | 32K | — |
| Q2_K | 7 GB | ✓ Yes | 32K | — |
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 16 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 4080: 8K 10.9 GB · 32K 15.7 GB · 128K 35 GB ✗. Past 128K it no longer fits 16 GB — a q8_0 KV cache buys roughly half of that back, which the calculator will price for you.
No compatible GPU? Cogito v1 14B on 16 GB of system RAM, CPU only: runs, but it is tight.
Cogito v1 Sizes That Fit the NVIDIA GeForce RTX 4080 (at 8K context)
| Cogito v1 14B | Q4_K_M · 10.9 GB at 8K context · ~62 tok/s (est.) |
| Cogito v1 8B | Q4_K_M · 6.7 GB at 8K context · ~97 tok/s (est.) |
| Cogito v1 3B | Q4_K_M · 3.6 GB at 8K context · ~176 tok/s (est.) |
At 2 hrs/day, buying (~$1,199) beats renting at $0.34/hr after about 4.9 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.
FAQ
Is the NVIDIA GeForce RTX 4080 enough to run Cogito v1 locally?
Yes, comfortably — Cogito v1 14B at Q4_K_M needs 10.9 GB at 8K context (8.5 GB weights + 2.4 GB KV cache/overhead), leaving ~5.1 GB of the NVIDIA GeForce RTX 4080's 16 GB, at ~62 tok/s (est.), with room for up to 32K context.
What's the best Cogito v1 size for the NVIDIA GeForce RTX 4080?
Cogito v1 14B at Q4_K_M quantization needs 10.9 GB at 8K context (8.5 GB weights + 2.4 GB KV cache/overhead), estimated ~62 tokens/sec, up to 32K context.
Every Cogito v1 size on the NVIDIA GeForce RTX 4080
| Size | VRAM at 8K | Verdict | Speed |
|---|---|---|---|
| Cogito v1 70B | 45.7 GB | Does not fit | — |
| Cogito v1 32B | 22.3 GB | Runs at Q2_K | — |
| Cogito v1 14B | 10.9 GB | Runs | ~62 tok/s |
| Cogito v1 8B | 6.7 GB | Runs | ~97 tok/s |
| Cogito v1 3B | 3.6 GB | Runs | ~176 tok/s |
Cogito v1 on Other GPUs
- Cogito v1 on NVIDIA GeForce RTX 5080
- Cogito v1 on NVIDIA GeForce RTX 5070 Ti
- Cogito v1 on NVIDIA GeForce RTX 5060 Ti 16GB
- Cogito v1 on NVIDIA GeForce RTX 4080 Super
- Cogito v1 on NVIDIA GeForce RTX 4070 Ti Super
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