Can I Run InternLM 3 on NVIDIA GeForce RTX 5060 Ti 8GB?

Written by Jakub Rusinowski · Last updated July 12, 2026

Yes, comfortably — InternLM 3 8B Instruct at Q4_K_M needs 6.5 GB at 8K context (5.3 GB weights + 1.2 GB KV cache/overhead), leaving ~1.5 GB of the NVIDIA GeForce RTX 5060 Ti 8GB's 8 GB, at ~60 tok/s (est.), with room for up to 32K context.

See what else this hardware can run →

Affiliate disclosure: Some links on this page are affiliate links — if you buy through them, LLM Configurator may earn a commission at no extra cost to you. As an Amazon Associate, LLM Configurator earns from qualifying purchases.

NVIDIA GeForce RTX 5060 Ti 8GB
8 GB VRAM · 180 W board power
2026 prices are volatile — check the current listing.
Check price on Amazon

NVIDIA GeForce RTX 5060 Ti 8GB Specs

VRAM8 GB
Memory Bandwidth448 GB/s

InternLM 3 8B Instruct on the NVIDIA GeForce RTX 5060 Ti 8GB: VRAM by quantization

QuantVRAM neededFits 8 GB?Max contextWhole PC
F1618.8 GB✗ No——
Q8_010.6 GB✗ No——
Q6_K8.4 GB✗ No——
Q5_K_M7.4 GB✓ Yes16K—
Q4_K_M6.5 GB✓ Yes32K—
Q3_K_M5 GB✓ Yes32K—
Q2_K4.1 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 8 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 5060 Ti 8GB: 8K 6.5 GB · 32K 7.7 GB. Every window this model publishes still fits 8 GB.

No compatible GPU? InternLM 3 8B Instruct on 8 GB of system RAM, CPU only: runs.

InternLM 3 Sizes That Fit the NVIDIA GeForce RTX 5060 Ti 8GB (at 8K context)

InternLM 3 8B InstructQ4_K_M · 6.5 GB at 8K context · ~60 tok/s (est.)
Buy vs. rent InternLM 3
Buy the GPU
~$379
NVIDIA GeForce RTX 5060 Ti 8GB · MSRP
Rent by the hour
from $0.34/hr
RTX 4090 (24 GB) class

At 2 hrs/day, buying (~$379) beats renting at $0.34/hr after about 19 months.

Affiliate links — we may earn a commission if you sign up, at no extra cost to you.

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 5060 Ti 8GB enough to run InternLM 3 locally?

Yes, comfortably — InternLM 3 8B Instruct at Q4_K_M needs 6.5 GB at 8K context (5.3 GB weights + 1.2 GB KV cache/overhead), leaving ~1.5 GB of the NVIDIA GeForce RTX 5060 Ti 8GB's 8 GB, at ~60 tok/s (est.), with room for up to 32K context.

What's the best InternLM 3 size for the NVIDIA GeForce RTX 5060 Ti 8GB?

InternLM 3 8B Instruct at Q4_K_M quantization needs 6.5 GB at 8K context (5.3 GB weights + 1.2 GB KV cache/overhead), estimated ~60 tokens/sec, up to 32K context.

Every InternLM 3 size on the NVIDIA GeForce RTX 5060 Ti 8GB

SizeVRAM at 8KVerdictSpeed
InternLM 3 20B Instruct14.5 GBDoes not fit—
InternLM 3 8B Instruct6.5 GBRuns~60 tok/s

InternLM 3 on Other GPUs

Popular Models on the NVIDIA GeForce RTX 5060 Ti 8GB

VRAM Tier

Troubleshooting

Buying Guide

← Can I Run It? | InternLM 3 Model Page | NVIDIA GeForce RTX 5060 Ti 8GB GPU Page | VRAM calculator | Check Your Hardware