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Llama 3.3 70B Instruct

Meta
Free
MLX Score1.8
PriceFreeno paid plan
RunsOn your Mac
DeveloperMeta
LicenceOpenLlama 3.3 Community License
CategoryModels
Mac14.0+macOS or later

Llama 3.3 70B Instruct is a 70-billion-parameter text model from Meta, tuned for multilingual dialogue in English, German, French, Italian, Portuguese, Hindi, Spanish and Thai, with a 128K-token context.

A 4-bit MLX build is about 40 GB; on mlx.app's estimate it needs a Mac with 64 GB of memory. All 70 billion parameters work on every token, so it writes slowly next to mixture-of-experts models.

Open weights under the Llama 3.3 Community License, a custom licence with conditions; Meta's repository asks you to accept it before downloading. Run locally, nothing leaves your Mac.

How to Get It

Run it on your MacSee how
WebsiteVisit

Official downloads only. MLX never re-hosts an app, and never runs a command for you.

MLX Score

1.8out of 5
Hugging Face downloads and likesahead of 20%
Hugging Face: 365,518 downloads (30 days), 3,184 likes · read 2026-11-02

Ranked against the open models listings, from real public data only. How the score works.

Information

Developer
Meta
Category
Open models
Price
Free (Open weights, free to download.)
Your data
Runs on your Mac
Licence
Llama 3.3 Community License
Mac
macOS 14.0 or later
iPhone and iPad
—
Needs
64 GB memory
Facts checked
2026-11-01

Sources

huggingface.co/meta-llama/Llama-3.3-70B-Instruct · Llama 3.3 Community License (gated download), 70B, 8 languages, 128k context, text only · checked 2026-11-01huggingface.co/mlx-community/Llama-3.3-70B-Instruct-4bit · 4-bit MLX build (about 40 GB) · checked 2026-11-01ml-explore.github.io/mlx/build/html/install.html · macOS 14.0 minimum (MLX needs Apple silicon and macOS 14.0+) · checked 2026-11-01mlx.app/run/llama-3.3-70b · memory: smallest Mac (64 GB) where the 4-bit MLX build fits with room for context, from lib/compare (75% of unified memory usable) · checked 2026-11-01Icon from Hugging Face

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Llama 3.3 70B Instruct is a product of Meta; MLX isn’t affiliated with it. Something wrong? Write to support@mlx.app.