Can I Run Cogito v1 32B on NVIDIA GeForce RTX 5060 Ti 16GB?

Written by Jakub Rusinowski · Last updated July 12, 2026

Not at Q4_K_M — that needs 22.3 GB at 8K context and the NVIDIA GeForce RTX 5060 Ti 16GB has 16 GB. Drop to Q2_K and it fits in 13.5 GB, with up to 16K of context.

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The numbers

ModelCogito v1 32B
Parameters32B
QuantizationQ4_K_M
VRAM needed (8K context)22.3 GB
NVIDIA GeForce RTX 5060 Ti 16GB VRAM16 GB
VerdictRuns at a lower quant
Fits atQ2_K (13.5 GB)
Max context16K

Cogito v1 32B on the NVIDIA GeForce RTX 5060 Ti 16GB: VRAM by quantization

QuantVRAM neededFits 16 GB?Max contextWhole PC
F1666.9 GB✗ No——
Q8_036.9 GB✗ No——
Q6_K29.2 GB✗ No——
Q5_K_M25.6 GB✗ No——
Q4_K_M22.3 GB✗ No——
Q3_K_M16.6 GB✗ No——
Q2_K13.5 GB✓ Yes16K—

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 5060 Ti 16GB: 8K 22.3 GB ✗ · 32K 28.7 GB ✗ · 128K 54.5 GB ✗. Past 8K it no longer fits 16 GB — a q8_0 KV cache buys roughly half of that back, which the calculator will price for you.

What to do next

Quantize to Q2_K. That is the cheapest fix — it costs some quality but no money.

No compatible GPU? Cogito v1 32B on 32 GB of system RAM, CPU only: runs comfortably.

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Running Cogito v1 32B on this card:

NVIDIA GeForce RTX 5060 Ti 16GB
16 GB VRAM · 180 W board power
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Won't fit — rent Cogito v1 32B instead

Cogito v1 32B needs ~22 GB but this GPU has 16 GB. Rent a RTX 4090 (24 GB)-class GPU by the hour instead of buying one:

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RunPod $0.34/hr
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Other Cogito v1 sizes on the NVIDIA GeForce RTX 5060 Ti 16GB

Cogito v1 32B on nearby hardware

All Cogito v1 sizes on the NVIDIA GeForce RTX 5060 Ti 16GB | Cogito v1 32B model page | NVIDIA GeForce RTX 5060 Ti 16GB GPU page | VRAM calculator | Check your hardware