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NVIDIA GeForce RTX 5060 Ti 16GB
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Compatibility Report

Llama 3.2 1B Instruct on NVIDIA GeForce RTX 5060 Ti 16GB

Yes — RTX 5060 Ti 16GB runs Llama 3.2 1B Instruct excellently at Q8_0 — 134 tok/s. 16 GB VRAM with plenty of headroom.

Model Size

1.24B

Device VRAM

16 GB

Bandwidth

448 GB/s

Quantization

Q8_0

Benchmarks

Performance by Quantization

OwnRig currently has one published compatibility entry for Llama 3.2 1B Instruct on NVIDIA GeForce RTX 5060 Ti 16GB at Q8_0. This is the best supported pairing we can stand behind today.

QuantizationSpeedTTFTFits in VRAMRatingConfidence
Q8_0134 tok/s35ms✓ YesExcellentestimated

Notes

Q8_0

1B class runs at maximum speed. Minimal VRAM footprint. Estimated for rtx-5060-ti-16gb; verify with community benchmarks.

About Llama 3.2 1B Instruct

Llama 3.2 1B Instruct (1.24B) is a chat, coding model. The smallest Llama model. Runs on integrated GPUs and even CPUs. Useful for basic classification, simple Q&A, and as a draft model for speculative decoding. Limited reasoning capability.

View all Llama 3.2 1B Instruct hardware options →

About NVIDIA GeForce RTX 5060 Ti 16GB

NVIDIA GeForce RTX 5060 Ti 16GB has 16 GB at 448 GB/s. Street price: $429.

See all models NVIDIA GeForce RTX 5060 Ti 16GB can run →

Estimate method: Estimated from rtx-4060-ti-16gb matrix rows scaled for rtx-5060-ti-16gb memory bandwidth (Ada Gate A methodology). Reference hardware source: nvidia.com (2026-05-26)

Performance varies by driver version, inference engine, quantization method, context length, and system configuration. Figures shown are estimates based on community benchmarks and may not reflect your exact setup. Product names are trademarks of their respective owners. OwnRig is independent and not affiliated with any hardware or AI model provider.

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Trademark Notice: NVIDIA, GeForce, and RTX are trademarks of NVIDIA Corporation. AMD and Radeon are trademarks of Advanced Micro Devices, Inc. Apple, Mac, and Apple Silicon are trademarks of Apple Inc. All other product names, logos, and brands are property of their respective owners. AI model names (Llama, Gemma, Mistral, Qwen, etc.) are trademarks of their respective creators. Use of these names and logos is for identification purposes only and does not imply endorsement.

Independence & Affiliates: OwnRig is an independent resource. We are not affiliated with, endorsed by, or sponsored by any hardware manufacturer, AI model provider, or retailer. Our recommendations are based on technical merit and community benchmarks. Some links on this site are affiliate links. If you purchase through them, we may earn a small commission at no extra cost to you. This does not influence our recommendations.

Data Accuracy: Performance figures are estimates based on community benchmarks and may vary by configuration, driver version, and software. Prices are approximate US retail as of March 2026 and may vary by retailer and region. VRAM requirements are calculated from model parameters with overhead estimates. Always verify specifications with manufacturer documentation before purchasing.

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