Can I Run Yi 1.5 Family on NVIDIA GeForce RTX 4070 Super?

Written by Jakub Rusinowski · Last updated September 29, 2026

Yes, comfortably — Yi 1.5 9B Chat at Q4_K_M needs 6.9 GB at 8K context (5.3 GB weights + 1.6 GB KV cache/overhead), leaving ~5.1 GB of the NVIDIA GeForce RTX 4070 Super's 12 GB, at ~69 tok/s (est.), with room for up to 16K context.

See what else this hardware can run →

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NVIDIA GeForce RTX 4070 Super 12GB
12 GB VRAM · 220 W board power
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NVIDIA GeForce RTX 4070 Super Specs

VRAM12 GB
Memory Bandwidth504 GB/s

Yi 1.5 9B Chat on the NVIDIA GeForce RTX 4070 Super: VRAM by quantization

QuantVRAM neededFits 12 GB?Max contextWhole PC
F1619.3 GB✗ No——
Q8_011 GB✓ Yes16K—
Q6_K8.8 GB✓ Yes16K—
Q5_K_M7.9 GB✓ Yes16K—
Q4_K_M6.9 GB✓ Yes16K—
Q3_K_M5.4 GB✓ Yes16K—
Q2_K4.5 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 12 GB. Figures are estimates from parameter count, quantization and memory bandwidth — the analyzer lets you tune KV-cache quant and context.

Newer alternative. 01.AI has not released a newer model in this library. If you are choosing today, Qwen 3 is a comparable current option. Can I run Qwen 3 on NVIDIA GeForce RTX 4070 Super? →

Context costs VRAM too. At Q4_K_M on the NVIDIA GeForce RTX 4070 Super: 8K 6.9 GB · 31K 9.3 GB. Every window this model publishes still fits 12 GB.

No compatible GPU? Yi 1.5 9B Chat on 8 GB of system RAM, CPU only: runs.

Yi 1.5 Family Sizes That Fit the NVIDIA GeForce RTX 4070 Super (at 8K context)

Yi 1.5 9B ChatQ4_K_M · 6.9 GB at 8K context · ~69 tok/s (est.)
Buy vs. rent Yi 1.5 Family
Buy the GPU
~$599
NVIDIA GeForce RTX 4070 Super · MSRP
Rent by the hour
from $0.34/hr
RTX 4090 (24 GB) class

At 2 hrs/day, buying (~$599) beats renting at $0.34/hr after about 2.4 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

Is the NVIDIA GeForce RTX 4070 Super enough to run Yi 1.5 Family locally?

Yes, comfortably — Yi 1.5 9B Chat at Q4_K_M needs 6.9 GB at 8K context (5.3 GB weights + 1.6 GB KV cache/overhead), leaving ~5.1 GB of the NVIDIA GeForce RTX 4070 Super's 12 GB, at ~69 tok/s (est.), with room for up to 16K context.

What's the best Yi 1.5 Family size for the NVIDIA GeForce RTX 4070 Super?

Yi 1.5 9B Chat at Q4_K_M quantization needs 6.9 GB at 8K context (5.3 GB weights + 1.6 GB KV cache/overhead), estimated ~69 tokens/sec, up to 16K context.

Every Yi 1.5 Family size on the NVIDIA GeForce RTX 4070 Super

SizeVRAM at 8KVerdictSpeed
Yi 1.5 34B Chat23.6 GBDoes not fit—
Yi 1.5 9B Chat6.9 GBRuns~69 tok/s

Yi 1.5 Family on Other GPUs

Popular Models on the NVIDIA GeForce RTX 4070 Super

VRAM Tier

Troubleshooting

Buying Guide

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