distiluse-base-multilingual-cased-v1
How much memory it needs, what its licence allows, and whether it fits an office box.

distiluse-base-multilingual-cased-v1 is an embedding model that turns text into vectors for document search, published by the Sentence Transformers project on Hugging Face on 2 March 2022. It has about 135 million parameters and a configured context window of 512 tokens.

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 1,287,769 downloads of it in the 30 days before we checked (7 Oct 2026), and 134 people have liked it there.

The card lists 14 languages: multilingual, ar, zh, nl, en, fr, de, it, ko, pl, pt, ru and 2 more (ISO codes as given on the 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.

These verdicts are arithmetic, not tests, against the specification at launch: ANVE One can give a model about three quarters of its 64 GB of unified memory, while ANVE Office and ANVE Office Pro hold it on a 24 GB graphics card and keep the rest of the stack in 64 GB or 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.

• distiluse-base-multilingual-cased-v2: a distilled, smaller-step version (same parameter count, so the memory figures above apply).

• embeddinggemma-300m (0.3B parameters, about 1.7 GB at 4-bit before context; commercial use allowed, with conditions)
• granite-embedding-small-english-r2 (0.0B parameters, about 1.5 GB at 4-bit before context; commercial use allowed)
• Qwen3-Embedding-0.6B (0.6B parameters, about 1.8 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.