Can I Run Llama 3.1 Family on NVIDIA GeForce RTX 4070 Ti?

Written by Jakub Rusinowski · Last updated September 29, 2026

Yes, comfortably — Llama 3.1 8B Instruct at Q4_K_M needs 6.7 GB at 8K context (4.8 GB weights + 1.9 GB KV cache/overhead), leaving ~5.3 GB of the NVIDIA GeForce RTX 4070 Ti's 12 GB, at ~73 tok/s (est.), with room for up to 32K context.

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Buy this hardware NVIDIA GeForce RTX 4070 Ti 12GB — 12 GB VRAM · 285 W board powerDeploy in the cloud now RTX 4090 on RunPod — from $0.34/hr · rate checked 2026-07

or compare on Vast.ai from $0.35/hr (typical low · varies)

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NVIDIA GeForce RTX 4070 Ti 12GB
12 GB VRAM · 285 W board power
2026 prices are volatile — check the current listing.
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NVIDIA GeForce RTX 4070 Ti Specs

VRAM12 GB
Memory Bandwidth504 GB/s

Llama 3.1 8B Instruct on the NVIDIA GeForce RTX 4070 Ti: VRAM by quantization

QuantVRAM neededFits 12 GB?Max contextWhole PC
F1617.9 GB✗ No——
Q8_010.4 GB✓ Yes16K—
Q6_K8.4 GB✓ Yes32K—
Q5_K_M7.5 GB✓ Yes32K—
Q4_K_M6.7 GB✓ Yes32K—
Q3_K_M5.3 GB✓ Yes32K—
Q2_K4.5 GB✓ Yes32K—

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

Superseded model. Llama 3.1 Family has been superseded by Llama 4. This page is kept for reference; the newer family is a better starting point. Llama 4 needs at least 68.2 GB at Q4_K_M with an 8K context, so it does not fit the NVIDIA GeForce RTX 4070 Ti.

Context costs VRAM too. At Q4_K_M on the NVIDIA GeForce RTX 4070 Ti: 8K 6.7 GB · 32K 9.9 GB · 128K 22.8 GB ✗. Past 128K it no longer fits 12 GB — a q8_0 KV cache buys roughly half of that back, which the calculator will price for you.

No compatible GPU? Llama 3.1 8B Instruct on 8 GB of system RAM, CPU only: runs.

Llama 3.1 Family Sizes That Fit the NVIDIA GeForce RTX 4070 Ti (at 8K context)

Llama 3.1 8B InstructQ4_K_M · 6.7 GB at 8K context · ~73 tok/s (est.)
Buy vs. rent Llama 3.1 Family
Buy the GPU
~$799
NVIDIA GeForce RTX 4070 Ti · MSRP
Rent by the hour
from $0.34/hr
RTX 4090 (24 GB) class

At 2 hrs/day, buying (~$799) beats renting at $0.34/hr after about 3.3 years.

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

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 4070 Ti have enough VRAM for Llama 3.1 Family?

Yes, comfortably — Llama 3.1 8B Instruct at Q4_K_M needs 6.7 GB at 8K context (4.8 GB weights + 1.9 GB KV cache/overhead), leaving ~5.3 GB of the NVIDIA GeForce RTX 4070 Ti's 12 GB, at ~73 tok/s (est.), with room for up to 32K context.

Which quantization of Llama 3.1 Family should I use on the NVIDIA GeForce RTX 4070 Ti?

Llama 3.1 8B Instruct at Q4_K_M quantization needs 6.7 GB at 8K context (4.8 GB weights + 1.9 GB KV cache/overhead), estimated ~73 tokens/sec, up to 32K context.

Llama 3.1 Family on Other GPUs

Popular Models on the NVIDIA GeForce RTX 4070 Ti

VRAM Tier

Troubleshooting

Buying Guide

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