Ollama model
nomic-embed-text-v2-moe
nomic-embed-text-v2-moe is a multilingual MoE text embedding model that excels at multilingual retrieval.
- Pulls
- 774.3K
- Tags
- 1
- Updated
- Dec 10, 2025
- Listed sizes
- See Ollama
Run locally
Copy one command. You stay in control.
The command downloads the default tag if needed, then starts it. Confirm the exact file size, license, context, and hardware requirement on the official page first.
ollama run nomic-embed-text-v2-moe- 1
Install Ollama on your Mac, Windows, or Linux computer.
- 2
Open Terminal and paste the copied command.
- 3
Press Enter to download the model if needed and start it.
Capabilities
What its library labels mean
- Embedding
- Turns text into vectors for retrieval, search, and RAG.