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Llama-3.1-8B-Instruct

Meta's Llama 3.1 8B instruct model. Meta gates the download. The fit estimate does not change the fact that you have to accept their terms.

8.03BParameters
llama3.1License
Not on the recordContext
2024-07-18Opened
4Freshness 4 / 100
92Popularity 92 / 100

Freshness uses the repository open date. This record is 836 days old, opened 2024-07-18. Popularity uses 4,620,951 downloads and 8,711 likes listed by Hugging Face. Checked 2026-11-01. Neither number grades answers. Formulas.

The publisher gates the download. You accept their terms on the repository before the weights will download.

Hugging Face reports 32.1 GB of storage for the whole repository. That figure can include several packs, so the fit table does not use it as the size of one file.

Will it fit?

Save a machine on the hardware page and this block fills in. The table already has the sizes.

PackSizeSaved machine
Largest published checkpoint16.1 GB weights + 1.5 GB allowance. File: original/consolidated.00.pth.Choose a machine
Q4 estimate4.4 GB weights + 1.5 GB allowance.Choose a machine
Q8 estimate8.4 GB weights + 1.5 GB allowance.Choose a machine
FP16 estimate16.1 GB weights + 1.5 GB allowance.Choose a machine

Estimate rows use the parameter count. A measured row names a file in the repository. The allowance is fixed: it stands in for context or activations, and it is not a measurement from a run.

How to run it

Text models are usually loaded from a quantized pack in llama.cpp, Ollama, or LM Studio, or from the original weights with the publisher's own instructions. AI Price Desk does not host the weights.

Publisher repository on Hugging Face

Others in Text

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gemma-4-31B-it · google

bge-m3 · BAAI

This directory is assembled from public model records. Freshness is age. Popularity is downloads and likes. A fit figure is an estimate from a parameter count or from a published file size, not a run on our hardware. How the numbers are made. AI disclosure.