all-MiniLM-L6-v2 on NVIDIA RTX 4060 Laptop (40-60W)
Yes — RTX 4060 Laptop (40-60W) runs all-MiniLM-L6-v2 excellently at FP16 — 5100 tok/s. 8 GB VRAM with plenty of headroom.
Model Size
23M
Device VRAM
8 GB
Bandwidth
256 GB/s
Quantization
FP16
Performance by Quantization
OwnRig currently has one published compatibility entry for all-MiniLM-L6-v2 on NVIDIA RTX 4060 Laptop (40-60W) at FP16. This is the best supported pairing we can stand behind today.
| Quantization | Speed | TTFT | Fits in VRAM | Rating | Confidence |
|---|---|---|---|---|---|
| FP16 | 5100 tok/s | 8ms | ✓ Yes | Excellent | estimated |
Notes
FP16
Sustained post-thermal-throttle performance. TDP-capped laptop variant.
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 RTX 4060 Laptop (40-60W)
NVIDIA RTX 4060 Laptop (40-60W) has 8 GB at 256 GB/s. Street price: $0.
See all models NVIDIA RTX 4060 Laptop (40-60W) can run →Estimate method: Community laptop benchmarks and thermal throttle reports. Reference hardware source: reddit.com (2026-03-14)
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.