Can I Run SmolLM2 on NVIDIA GeForce RTX 4060?

Superseded model. SmolLM2 has been superseded by SmolLM3. This page is kept for reference; the newer family is a better starting point. View SmolLM3 →

Written by Jakub Rusinowski · Last updated July 12, 2026

Yes, comfortably — SmolLM2 1.7B Instruct at Q4_K_M needs 3.4 GB at 8K context (1 GB weights + 2.4 GB KV cache/overhead), leaving ~4.6 GB of the NVIDIA GeForce RTX 4060's 8 GB, at ~105 tok/s (est.), with room for up to 8K context.

See what else this hardware can run →

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NVIDIA GeForce RTX 4060 8GB
8 GB VRAM · 115 W board power
2026 prices are volatile — check the current listing.
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NVIDIA GeForce RTX 4060 Specs

VRAM8 GB
Memory Bandwidth272 GB/s

SmolLM2 1.7B Instruct on the NVIDIA GeForce RTX 4060: VRAM by quantization

QuantVRAM neededFits 8 GB?Max contextWhole PC
F165.8 GB✓ Yes8K—
Q8_04.2 GB✓ Yes8K—
Q6_K3.8 GB✓ Yes8K—
Q5_K_M3.6 GB✓ Yes8K—
Q4_K_M3.4 GB✓ Yes8K—
Q3_K_M3.1 GB✓ Yes8K—
Q2_K3 GB✓ Yes8K—

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.

No compatible GPU? SmolLM2 1.7B Instruct on 8 GB of system RAM, CPU only: runs comfortably.

SmolLM2 Sizes That Fit the NVIDIA GeForce RTX 4060 (at 8K context)

SmolLM2 1.7B InstructQ4_K_M · 3.4 GB at 8K context · ~105 tok/s (est.)
SmolLM2 360M InstructQ4_K_M · 1.4 GB at 8K context · ~265 tok/s (est.)
Buy vs. rent SmolLM2
Buy the GPU
~$299
NVIDIA GeForce RTX 4060 · MSRP
Rent by the hour
from $0.34/hr
RTX 4090 (24 GB) class

At 2 hrs/day, buying (~$299) beats renting at $0.34/hr after about 15 months.

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RunPod $0.34/hr
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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

Can I run SmolLM2 on the NVIDIA GeForce RTX 4060?

Yes, comfortably — SmolLM2 1.7B Instruct at Q4_K_M needs 3.4 GB at 8K context (1 GB weights + 2.4 GB KV cache/overhead), leaving ~4.6 GB of the NVIDIA GeForce RTX 4060's 8 GB, at ~105 tok/s (est.), with room for up to 8K context.

What's the best SmolLM2 size for the NVIDIA GeForce RTX 4060?

SmolLM2 1.7B Instruct at Q4_K_M quantization needs 3.4 GB at 8K context (1 GB weights + 2.4 GB KV cache/overhead), estimated ~105 tokens/sec, up to 8K context.

Every SmolLM2 size on the NVIDIA GeForce RTX 4060

SizeVRAM at 8KVerdictSpeed
SmolLM2 1.7B Instruct3.4 GBRuns~105 tok/s
SmolLM2 360M Instruct1.4 GBRuns~265 tok/s

SmolLM2 on Other GPUs

Popular Models on the NVIDIA GeForce RTX 4060

VRAM Tier

Troubleshooting

Buying Guide

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