Cyberax AI Playbook
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Model · Meta · Text

Llama 4 Scout

Meta's small/efficient Llama 4 variant — natively multimodal MoE architecture. The practical Llama 4 entry point for self-hosted multimodal applications.

Modality
Text
License
Llama 4 Community License (Open weights)
Parameter size
17B active / 16E
Released
April 5, 2025
Last verified
September 8, 2026
Runs locally
Yes
Also handles
vision

What you need to run it

Mac
Yes. Any Apple Silicon Mac (M1 or newer) with at least 96 GB (128 GB recommended) of memory. Newer chips are faster, but memory is what decides whether it runs.
Windows / Linux PC
NVIDIA works best. A graphics card with at least 80 GB of video memory.
No graphics card
Not practical. Too slow without a graphics card or Apple Silicon.

Fits a 96 GB or 128 GB Mac and runs well in MLX, Ollama and LM Studio because only 17B of it is active per word.

Numbers are for: 4-bit build of the 109B model (about 65 GB). Our estimate from the model’s size — the maker publishes no figure.

Strengths

  • Native multimodal (text + vision)
  • MoE architecture — modest active parameter count for inference
  • Open weights with the broad Llama ecosystem

Weaknesses

  • Newer architecture — fewer fine-tunes vs the Llama 3 line
  • Community License restricts use at >700M MAU

Try it

WhereTypeNotes
Hugging Face weights Gated — accept Community License
OpenRouter hosted-api API key required

Used in solutions

Version history

  1. Llama 4 Maverick Apr 2025
  2. Llama 4 Scout Apr 2025 Current

Change log

  • — Added hardware requirements (Mac support, memory, NVIDIA). Source: estimate from 109B size at 4-bit.
  • — Release date corrected to 2025-04-05, Meta's actual Llama 4 launch. The previous 2025-05-22 was the Hugging Face repo push timestamp. Still the newest Llama — there is no Llama 5; Meta's open-weight work moved to the Muse family (see Muse Glimmer 30B).
  • — Initial entry. Sighted on Hugging Face (lastModified 2025-05-22).