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

Llama-3.1-70B-Instruct
Memory at each precision, the licence in plain words, and where it fits.

Short answer. Llama-3.1-70B-Instruct needs about 41 GB of memory at 4-bit, 76 GB at 8-bit and 143 GB at full 16-bit precision, including runtime overhead. It has about 70.6 billion parameters. Licence in short: commercial use allowed, with conditions. By memory alone, on ANVE’s launch configurations: ANVE One fits at 4-bit, ANVE Office only with partial offload to system memory, which is much slower, ANVE Office Pro (GPU) only with partial offload to system memory, which is much slower. These are estimates from its published size, not benchmarks.

01

What it is

Llama-3.1-70B-Instruct is a language model for chat, drafting and question answering, published by Meta on Hugging Face on 16 July 2024. It has about 70.6 billion parameters.

Its card lists the licence as Llama 3.1 Community License. In short, the licence allows commercial use under Meta’s conditions, including its acceptable use policy and a separate licence for companies above 700 million monthly active users. Access on Hugging Face requires accepting the publisher’s terms first.

Hugging Face counted about 88,923 downloads of it in the 30 days before we checked (7 Oct 2026), and 1,005 people have liked it there.

The card lists 8 languages: en, de, fr, it, pt, hi, es, th (ISO codes as given on the card).

It is built on meta-llama/Meta-Llama-3.1-70B, 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)141 GBnot computed143 GB
8-bit (Q8_0)75 GBnot computed76 GB
4-bit (Q4_K)40 GBnot computed41 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 4-bit
ANVE Office24 GB on the RTX PRO 4000 Blackwell SFF Editiononly with partial offload to system memory, which is much slower
ANVE Office Pro (GPU)24 GB on the RTX PRO 4000 Blackwellonly with partial offload to system memory, which is much slower
04

What an office would use it for

Models this large are stronger on long, hard drafting and reasoning, but need most of a 64 to 128 GB machine even at 4-bit, which leaves less room for long documents and several users.

05

Similar models to compare

  • DeepSeek-R1-Distill-Llama-70B (70.6B parameters, about 41 GB at 4-bit before context; commercial use allowed)
  • Apertus-70B-2509 (70.6B parameters, about 41 GB at 4-bit before context; commercial use allowed)
  • Qwen3-Coder-Next (79.7B parameters, about 46 GB at 4-bit before context; commercial use allowed)
06

Questions people ask

How much memory does Llama-3.1-70B-Instruct need?
About 41 GB at 4-bit, 76 GB at 8-bit and 143 GB at full 16-bit precision, including about 1.5 GB of runtime overhead. These are estimates from its parameter count.
Can Llama-3.1-70B-Instruct run on a 24 GB graphics card?
Not entirely: even at 4-bit it needs about 41 GB, so part of it would sit in system memory, which is much slower.
Is Llama-3.1-70B-Instruct free for commercial use?
Its card lists Llama 3.1 Community License, which allows commercial use under Meta’s conditions, including its acceptable use policy and a separate licence for companies above 700 million monthly active users. 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.

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