Can I Run OLMo 2 13B Instruct on NVIDIA GeForce RTX 3070?

Written by Jakub Rusinowski · Last updated July 12, 2026

No. OLMo 2 13B Instruct needs 15.8 GB at 8K context (8.3 GB weights + 7.5 GB KV cache/overhead) at Q4_K_M and the NVIDIA GeForce RTX 3070 has only 8 GB. No quantization we publish closes a gap that size.

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The numbers

ModelOLMo 2 13B Instruct
Parameters13B
QuantizationQ4_K_M
VRAM needed (8K context)15.8 GB
NVIDIA GeForce RTX 3070 VRAM8 GB
VerdictDoes not fit

OLMo 2 13B Instruct on the NVIDIA GeForce RTX 3070: VRAM by quantization

QuantVRAM neededFits 8 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✗ No——
Q3_K_M13.4 GB✗ No——
Q2_K12 GB✗ No——

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 8 GB. Figures are estimates from parameter count, quantization and memory bandwidth — the analyzer lets you tune KV-cache quant and context.

What to do next

Either step down to a smaller size in this family, or move to a NVIDIA GeForce RTX 4090 Laptop GPU (16 GB), the card with the least memory we track that holds it.

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

Won't fit — rent OLMo 2 13B Instruct instead

OLMo 2 13B Instruct needs ~16 GB but this GPU has 8 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 OLMo 2 sizes on the NVIDIA GeForce RTX 3070

OLMo 2 13B Instruct on nearby hardware

All OLMo 2 sizes on the NVIDIA GeForce RTX 3070 | OLMo 2 13B Instruct model page | NVIDIA GeForce RTX 3070 GPU page | VRAM calculator | Check your hardware