all-MiniLM-L6-v2 on NVIDIA GeForce RTX 4090
Yes — RTX 4090 runs all-MiniLM-L6-v2 excellently at FP16 — real-time capable. 24 GB VRAM with plenty of headroom.
Model Size
23M
Device VRAM
24 GB
Bandwidth
1008 GB/s
Quantization
FP16
Performance by Quantization
OwnRig currently has one published compatibility entry for all-MiniLM-L6-v2 on NVIDIA GeForce RTX 4090 at FP16. This is the best supported pairing we can stand behind today.
| Quantization | Speed | TTFT | Fits in VRAM | Rating | Confidence |
|---|---|---|---|---|---|
| FP16 | – | 3ms | ✓ Yes | Excellent | estimated |
Notes
FP16
Ultra-lightweight. Use when every MB of VRAM counts.
Can run alongside even the largest 32B models with zero meaningful VRAM impact.
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 4090
NVIDIA GeForce RTX 4090 has 24 GB at 1008 GB/s. Street price: $1,799.
See all models NVIDIA GeForce RTX 4090 can run →Builds with NVIDIA GeForce RTX 4090
Estimate method: Model card. Reference hardware source: huggingface.co (2026-01-15)
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.