nomic-embed-text-v2-moe
How much memory it needs, what its licence allows, and whether it fits an office box.

nomic-embed-text-v2-moe is an embedding model that turns text into vectors for document search, published by Nomic AI on Hugging Face on 7 February 2025. It has about 475 million parameters.

Its card lists the licence as Apache 2.0. In short, the licence allows commercial use, modification and redistribution, with attribution and a copy of the licence, and includes a patent grant.

Hugging Face counted about 1,108,952 downloads of it in the 30 days before we checked (7 Oct 2026), and 502 people have liked it there.

The card lists 101 languages: en, es, fr, de, it, pt, pl, nl, tr, ja, vi, ru and 89 more (ISO codes as given on the card).

It is built on nomic-ai/nomic-embed-text-v2-moe-unsupervised, according to its card.

The arithmetic: parameters × bits per weight ÷ 8 gives the weights, plus about 1.5 GB for the runtime. These are planning estimates, not measurements.

Inputs are short, so working memory is small next to the weights.

Arithmetic against the launch specification, not a test: about three quarters of ANVE One’s 64 GB of unified memory for the model (as AMD’s Variable Graphics Memory allows), and the 24 GB on the graphics card in ANVE Office and ANVE Office Pro, which keep the rest of the stack in 64 GB and 128 GB of system memory. ANVE’s tested default is Qwen 3.8 27B; this model is not yet validated on ANVE.

For an office, embeddings are what make "find the clause about late fees" work across thousands of documents. The model is small, so it runs beside the main language model without crowding it.

• Qwen3-Embedding-0.6B (0.6B parameters, about 1.8 GB at 4-bit before context; commercial use allowed)
• embeddinggemma-300m (0.3B parameters, about 1.7 GB at 4-bit before context; commercial use allowed, with conditions)
• Qwen3-VL-Embedding-2B (2.1B parameters, about 2.7 GB at 4-bit before context; commercial use allowed)

No sealed ANVE unit exists; every image of the appliance on this site is a labelled render. The software runs today on a development machine. No customers yet, no certifications, no delivery date, and the final price is not announced.

Reservations are ₹999 in India or US$12 elsewhere, refundable in full until you confirm an order in writing (terms). Offices that cannot use cloud AI can apply to be one of ten design partners.