Can I run mxbai-embed-large?

Strong open embedding model for retrieval. Small and quick.

embeddingsrag · sizes: 335M · Apache-2.0

What runs it

machinebest fitverdictspeed
Apple M1 · 8GB 335M F16 ✅ Runs comfortably 60–100 tok/s
Apple M1 Pro · 16GB 335M F16 ✅ Runs comfortably 160–260 tok/s
Apple M2 · 16GB 335M F16 ✅ Runs comfortably 85–140 tok/s
Apple M3 Pro · 18GB 335M F16 ✅ Runs comfortably 120–200 tok/s
Apple M2 Pro · 32GB 335M F16 ✅ Runs comfortably 160–260 tok/s
Apple M4 Pro · 48GB 335M F16 ✅ Runs comfortably 200–340 tok/s
Apple M3 Max · 36GB 335M F16 ✅ Runs comfortably 260–440 tok/s
Apple M2 Max · 64GB 335M F16 ✅ Runs comfortably 260–440 tok/s
Apple M4 Max · 128GB 335M F16 ✅ Runs comfortably 330–550 tok/s
Apple M2 Ultra · 192GB 335M F16 ✅ Runs comfortably 460–760 tok/s
NVIDIA GeForce RTX 3060 · 12GB VRAM 335M F16 ✅ Runs comfortably 220–360 tok/s
NVIDIA GeForce RTX 4070 · 12GB VRAM 335M F16 ✅ Runs comfortably 300–510 tok/s
NVIDIA GeForce RTX 4090 · 24GB VRAM 335M F16 ✅ Runs comfortably 610–1020 tok/s
NVIDIA GeForce RTX 5080 · 16GB VRAM 335M F16 ✅ Runs comfortably 580–970 tok/s
NVIDIA GeForce RTX 5090 · 32GB VRAM 335M F16 ✅ Runs comfortably 1080–1810 tok/s
AMD Radeon RX 7900 XTX · 24GB VRAM 335M F16 ✅ Runs comfortably 550–920 tok/s

Shopping for a machine? What hardware do I need to run mxbai-embed-large? →

Check your exact rig: open the checker →

$npx runlocal-sh can-i-run mxbai-embed-large