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API provider data is live · Hardware & cloud pricing curated 2026-02-23

all-MiniLM-L6-v2

by sentence-transformers

23M params · sentence-similarity · 4.6k likes · 202.1M downloads

all-MiniLM-L6-v2 is a 23M parameter model. At Q4 quantization it requires 0GB of VRAM. It runs comfortably on GeForce RTX 4090 (57806 tok/s), GeForce RTX 5090 (86687 tok/s), M4 Max 128GB (21153 tok/s).

Inference providers

Provider$/1M in$/1M outThroughput
HF Inference

GPU compatibility

GPUVRAMQ4 DecodeVerdict
GeForce RTX 409024GB57806 tok/scomfortable
GeForce RTX 509032GB86687 tok/scomfortable
M4 Max 128GB128GB21153 tok/scomfortable
M4 Pro 48GB48GB10576 tok/scomfortable
M4 Pro 24GB24GB10576 tok/scomfortable
A100 PCIe 80 GB80GB105909 tok/scomfortable
H100 SXM5 80 GB80GB213016 tok/scomfortable
GeForce RTX 309024GB51109 tok/scomfortable
Radeon RX 7900 XTX24GB42265 tok/scomfortable
GeForce RTX 408016GB41025 tok/scomfortable
Install CLI [email protected] Raw data · MIT · API data: live · HW/Cloud data: curated 2026-02-23 · v0.6.0