all-MiniLM-L6-v2 on NVIDIA GeForce RTX 4060 8GB
Yes — RTX 4060 8GB runs all-MiniLM-L6-v2 excellently at FP16 — 8500 tok/s. 8 GB VRAM with plenty of headroom.
Model Size
23M
Device VRAM
8 GB
Bandwidth
272 GB/s
Quantization
FP16
Performance by Quantization
OwnRig currently has one published compatibility entry for all-MiniLM-L6-v2 on NVIDIA GeForce RTX 4060 8GB at FP16. This is the best supported pairing we can stand behind today.
| Quantization | Speed | TTFT | Fits in VRAM | Rating | Confidence |
|---|---|---|---|---|---|
| FP16 | 8500 tok/s | 5ms | ✓ Yes | Excellent | estimated |
Notes
FP16
Tiny 23M param embedding model. Negligible VRAM (~0.25GB). Can run concurrently with any other model.
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 4060 8GB
NVIDIA GeForce RTX 4060 8GB has 8 GB at 272 GB/s. Street price: $289.
See all models NVIDIA GeForce RTX 4060 8GB can run →Estimate method: Performance estimates based on model size and device bandwidth. Reference hardware source: github.com (2026-03-15)
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.