Can I Run InternLM 3 on NVIDIA GeForce RTX 5070 Ti?

Written by Jakub Rusinowski · Last updated July 12, 2026

Yes, but it's tight — InternLM 3 20B Instruct at Q4_K_M needs 14.5 GB at 8K context (12.1 GB weights + 2.4 GB KV cache/overhead), leaving ~1.5 GB of the NVIDIA GeForce RTX 5070 Ti's 16 GB, at ~52 tok/s (est.), with room for up to 8K context.

See what else this hardware can run →

Buy this hardware NVIDIA GeForce RTX 5070 Ti 16GB — 16 GB VRAM · 300 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 5070 Ti 16GB
16 GB VRAM · 300 W board power
2026 prices are volatile — check the current listing.
Check price on Amazon

NVIDIA GeForce RTX 5070 Ti Specs

VRAM16 GB
Memory Bandwidth896 GB/s

InternLM 3 20B Instruct on the NVIDIA GeForce RTX 5070 Ti: VRAM by quantization

QuantVRAM neededFits 16 GB?Max contextWhole PC
F1642.4 GB✗ No——
Q8_023.6 GB✗ No—Build for this
Q6_K18.8 GB✗ No——
Q5_K_M16.6 GB✗ No——
Q4_K_M14.5 GB✓ Yes8KBuild for this
Q3_K_M10.9 GB✓ Yes32K—
Q2_K9 GB✓ Yes32K—

Assumes an 8K-token context with an f16 KV cache, on an estimated architecture — this model publishes no config we can read. 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 5070 Ti: 8K 14.5 GB · 32K 19.2 GB ✗. Past 32K it no longer fits 16 GB — a q8_0 KV cache buys roughly half of that back, which the calculator will price for you.

No compatible GPU? InternLM 3 20B Instruct on 24 GB of system RAM, CPU only: runs.

InternLM 3 Sizes That Fit the NVIDIA GeForce RTX 5070 Ti (at 8K context)

InternLM 3 20B InstructQ4_K_M · 14.5 GB at 8K context · ~52 tok/s (est.)
InternLM 3 8B InstructQ4_K_M · 6.5 GB at 8K context · ~105 tok/s (est.)
Buy vs. rent InternLM 3
Buy the GPU
~$749
NVIDIA GeForce RTX 5070 Ti · MSRP
Rent by the hour
from $0.34/hr
RTX 4090 (24 GB) class

At 2 hrs/day, buying (~$749) beats renting at $0.34/hr after about 3.1 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 5070 Ti enough to run InternLM 3 locally?

Yes, but it's tight — InternLM 3 20B Instruct at Q4_K_M needs 14.5 GB at 8K context (12.1 GB weights + 2.4 GB KV cache/overhead), leaving ~1.5 GB of the NVIDIA GeForce RTX 5070 Ti's 16 GB, at ~52 tok/s (est.), with room for up to 8K context.

What's the best InternLM 3 size for the NVIDIA GeForce RTX 5070 Ti?

InternLM 3 20B Instruct at Q4_K_M quantization needs 14.5 GB at 8K context (12.1 GB weights + 2.4 GB KV cache/overhead), estimated ~52 tokens/sec, up to 8K context.

Every InternLM 3 size on the NVIDIA GeForce RTX 5070 Ti

SizeVRAM at 8KVerdictSpeed
InternLM 3 20B Instruct14.5 GBRuns~52 tok/s
InternLM 3 8B Instruct6.5 GBRuns~105 tok/s

InternLM 3 on Other GPUs

Popular Models on the NVIDIA GeForce RTX 5070 Ti

VRAM Tier

Troubleshooting

Buying Guide

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