# Meta releases Llama 3.1 including a 405B model

> Meta announced Llama 3.1 models at 8B, 70B, and 405B parameters, describing multilingual support, a 128K context window, and reference materials for agent systems. The models broadened open-weight options, but hosting and inference requirements vary substantially by size, deployment target, and operational environment chosen by operators.

Canonical: https://hypler.com/ai-news/meta-llama-3-1-2024
Hypler publication: 2026-10-06
Original source date: 2024-07-23
Publisher: Meta AI
Article kind: source-briefing
Category: Models
Tags: open-weights, Llama, inference

## Engineering relevance

Larger open models make capacity planning and model-routing evidence more important. Hypler should treat context, throughput, safety tools, and total operating cost as measured properties, not release-note assumptions.

## Original source

- [Meta AI](https://ai.meta.com/blog/meta-llama-3-1/)

## Image provenance

### Primary image

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generated illustration. Credit: Hypler / AI-generated editorial illustration. Hypler editorial asset; not vendor or event photography.
- [Image source](https://hypler.com/ai-news/media.md)

### Supporting image

![Generated illustration of connected accelerator trays and cooling channels; not a vendor facility.](https://hypler.com/assets/news/cluster-scaling.webp)

generated illustration. Credit: Hypler / AI-generated editorial illustration. Hypler editorial asset; not vendor or event photography.
- [Image source](https://hypler.com/ai-news/media.md)

## Reading boundary

Historical source briefing, not current availability, compliance advice, partnership, or proof of Hypler deployment. Generated artwork is not event photography. Public reading grants no private access or execution authority.