Can I Run OLMo 2 on NVIDIA GeForce RTX 4060 Ti 16GB?

Written by Jakub Rusinowski · Last updated July 12, 2026

Yes, but it's tight — OLMo 2 13B Instruct at Q4_K_M needs 15.8 GB at 8K context (8.3 GB weights + 7.5 GB KV cache/overhead), leaving ~0.2 GB of the NVIDIA GeForce RTX 4060 Ti 16GB's 16 GB, at ~22 tok/s (est.), with room for up to 4K context.

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NVIDIA GeForce RTX 4060 Ti 16GB
16 GB VRAM · 165 W board power
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NVIDIA GeForce RTX 4060 Ti 16GB Specs

VRAM16 GB
Memory Bandwidth288 GB/s

OLMo 2 13B Instruct on the NVIDIA GeForce RTX 4060 Ti 16GB: VRAM by quantization

QuantVRAM neededFits 16 GB?Max contextWhole PC
F1634.9 GB✗ No——
Q8_022.1 GB✗ No——
Q6_K18.7 GB✗ No——
Q5_K_M17.2 GB✗ No——
Q4_K_M15.8 GB✓ Yes4K—
Q3_K_M13.4 GB✓ Yes4K—
Q2_K12 GB✓ Yes4K—

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.

No compatible GPU? OLMo 2 13B Instruct on 24 GB of system RAM, CPU only: runs.

OLMo 2 Sizes That Fit the NVIDIA GeForce RTX 4060 Ti 16GB (at 8K context)

OLMo 2 13B InstructQ4_K_M · 15.8 GB at 8K context · ~22 tok/s (est.)
OLMo 2 7B InstructQ4_K_M · 9.5 GB at 8K context · ~37 tok/s (est.)
Buy vs. rent OLMo 2
Buy the GPU
~$499
NVIDIA GeForce RTX 4060 Ti 16GB · MSRP
Rent by the hour
from $0.34/hr
RTX 4090 (24 GB) class

At 2 hrs/day, buying (~$499) beats renting at $0.34/hr after about 2.0 years.

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RunPod $0.34/hr
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Vast.ai $0.35/hr · typical low · varies
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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

Does the NVIDIA GeForce RTX 4060 Ti 16GB have enough VRAM for OLMo 2?

Yes, but it's tight — OLMo 2 13B Instruct at Q4_K_M needs 15.8 GB at 8K context (8.3 GB weights + 7.5 GB KV cache/overhead), leaving ~0.2 GB of the NVIDIA GeForce RTX 4060 Ti 16GB's 16 GB, at ~22 tok/s (est.), with room for up to 4K context.

Which quantization of OLMo 2 should I use on the NVIDIA GeForce RTX 4060 Ti 16GB?

OLMo 2 13B Instruct at Q4_K_M quantization needs 15.8 GB at 8K context (8.3 GB weights + 7.5 GB KV cache/overhead), estimated ~22 tokens/sec, up to 4K context.

Every OLMo 2 size on the NVIDIA GeForce RTX 4060 Ti 16GB

SizeVRAM at 8KVerdictSpeed
OLMo 2 13B Instruct15.8 GBRuns~22 tok/s
OLMo 2 7B Instruct9.5 GBRuns~37 tok/s

OLMo 2 on Other GPUs

Popular Models on the NVIDIA GeForce RTX 4060 Ti 16GB

VRAM Tier

Troubleshooting

Buying Guide

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