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Run it on your own hardware · updated 2026-10-16

EuroLLM-9B-Instruct
The memory it needs, what you may do with it, and the hardware it suits.

Short answer. EuroLLM-9B-Instruct needs about 6.6 GB of memory at 4-bit, 11 GB at 8-bit and 20 GB at full 16-bit precision, including runtime overhead. It has about 9.2 billion parameters. Licence in short: commercial use allowed. By memory alone, on ANVE’s launch configurations: ANVE One fits at BF16, ANVE Office fits at BF16, ANVE Office Pro (GPU) fits at BF16. These are estimates from its published size, not benchmarks.

01

What it is

EuroLLM-9B-Instruct is a language model for chat, drafting and question answering, published by the UTTER project (EuroLLM) on Hugging Face on 22 November 2024. It has about 9.2 billion 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. Access on Hugging Face requires accepting the publisher’s terms first.

Hugging Face counted about 14,493 downloads of it in the 30 days before we checked (7 Oct 2026), and 225 people have liked it there.

The card lists 35 languages: en, de, es, fr, it, pt, pl, nl, tr, sv, cs, el and 23 more (ISO codes as given on the card).

It is built on utter-project/EuroLLM-9B, according to its card.

02

How much memory it needs

We size it the way you would size any model: the weights (parameters × bits ÷ 8), the KV cache for 8,192 tokens of context, and roughly 1.5 GB for the runtime itself. Real use varies with settings.

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

PrecisionWeightsKV cache (8,192 tokens)Total, estimated
BF16 (full precision)18 GBnot computed20 GB
8-bit (Q8_0)9.7 GBnot computed11 GB
4-bit (Q4_K)5.1 GBnot computed6.6 GB
03

Will it fit on ANVE?

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.

Configuration (at launch)Memory for the modelVerdict
ANVE Oneabout 48 GB of 64 GB unified memoryfits at BF16
ANVE Office24 GB on the RTX PRO 4000 Blackwell SFF Editionfits at BF16
ANVE Office Pro (GPU)24 GB on the RTX PRO 4000 Blackwellfits at BF16
04

What an office would use it for

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.

05

Similar models to compare

  • gemma-2-9b-it (9.2B parameters, about 6.7 GB at 4-bit before context; commercial use allowed, with conditions)
  • gemma-2-9b (9.2B parameters, about 6.7 GB at 4-bit before context; commercial use allowed, with conditions)
  • codegeex4-all-9b (9.4B parameters, about 6.8 GB at 4-bit before context; custom licence: check before commercial use)
06

Questions people ask

How much memory does EuroLLM-9B-Instruct need?
About 6.6 GB at 4-bit, 11 GB at 8-bit and 20 GB at full 16-bit precision, including about 1.5 GB of runtime overhead. These are estimates from its parameter count.
Can EuroLLM-9B-Instruct run on a 24 GB graphics card?
Yes, at BF16 by this estimate, with room left for context.
Is EuroLLM-9B-Instruct free for commercial use?
Its card lists Apache 2.0, which allows commercial use, modification and redistribution, with attribution and a copy of the licence, and includes a patent grant. Read the licence itself before relying on this summary; it is not legal advice.
07

What is not real yet

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.