S
Compatibility Report

all-MiniLM-L6-v2 on NVIDIA GeForce RTX 5060 8GB

Yes — RTX 5060 8GB runs all-MiniLM-L6-v2 excellently at FP16 — 9775 tok/s. 8 GB VRAM with plenty of headroom.

Model Size

23M

Device VRAM

8 GB

Bandwidth

448 GB/s

Quantization

FP16

Benchmarks

Performance by Quantization

OwnRig currently has one published compatibility entry for all-MiniLM-L6-v2 on NVIDIA GeForce RTX 5060 8GB at FP16. This is the best supported pairing we can stand behind today.

QuantizationSpeedTTFTFits in VRAMRatingConfidence
FP169775 tok/s5ms✓ YesExcellentestimated

Notes

FP16

Tiny 23M param embedding model. Negligible VRAM (~0.25GB). Can run concurrently with any other model. Estimated for rtx-5060-8gb; verify with community benchmarks.

About all-MiniLM-L6-v2

all-MiniLM-L6-v2 (23M) is a embeddings, ai building model. Ultra-lightweight embedding model at 23M params. Fastest option for local embeddings. Lower quality than nomic-embed but practically free in VRAM. Ideal when running alongside large coding models and every MB of VRAM matters. The tiny model for builders who need RAG without the VRAM cost.

View all all-MiniLM-L6-v2 hardware options →

About NVIDIA GeForce RTX 5060 8GB

NVIDIA GeForce RTX 5060 8GB has 8 GB at 448 GB/s. Street price: $299.

See all models NVIDIA GeForce RTX 5060 8GB can run →

Estimate method: Estimated from rtx-4060-8gb matrix rows scaled for rtx-5060-8gb 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.