aya-expanse-8b
Memory at each precision, the licence in plain words, and where it fits.

aya-expanse-8b is a language model for chat, drafting and question answering, published by Cohere Labs on Hugging Face on 23 October 2024. It has about 8 billion parameters.

Its card lists the licence as CC BY-NC 4.0. In short, the licence allows non-commercial use only, so an office cannot use it for paid client work without a separate licence. Access on Hugging Face requires accepting the publisher’s terms first.

Hugging Face counted about 20,637 downloads of it in the 30 days before we checked (7 Oct 2026), and 453 people have liked it there.

The card lists 23 languages: en, fr, de, es, it, pt, ja, ko, zh, ar, el, fa and 11 more (ISO codes as given on the card).

The arithmetic: parameters × bits per weight ÷ 8 gives the weights; add the KV cache, which grows with every token of context; then add about 1.5 GB for the runtime. These are estimates for planning, not measurements.

The KV cache could not be computed from the published configuration, so add room for context on top of these totals.

How the verdicts are worked out: on ANVE One, about three quarters of 64 GB of unified memory is available to the model; on ANVE Office and ANVE Office Pro, the model has to fit in the 24 GB on the graphics card, with 64 GB or 128 GB of system memory for everything else. This is arithmetic against the launch specification, not a test. ANVE’s tested default is Qwen 3.8 27B; this model is not yet validated on ANVE.

This size suits quick drafting, classification, extraction and chat over short documents on modest hardware. ANVE pairs a fast 4B-class model with its main model for quick jobs.

• DeepSeek-R1-Distill-Llama-8B (8.0B parameters, about 6.0 GB at 4-bit before context; commercial use allowed)
• Llama-3.1-8B-Instruct (8.0B parameters, about 6.0 GB at 4-bit before context; commercial use allowed, with conditions)
• Meta-Llama-3-8B-Instruct (8.0B parameters, about 6.0 GB at 4-bit before context; commercial use allowed, with conditions)

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.