arcflare_
Vision109B-A17B official

llama4-scout

by Meta

Llama 4 Scout: a natively multimodal 109B MoE (17B active, 16 experts) with an extremely long context window.

#vision#moe#long-context
arcflare pull unsloth/Llama-4-Scout-17B-16E-Instruct-GGUF:Q4_K_M

[ 01 ] // quickstart

┌─ arcflare — zsh // tty1
$ 

[ 02 ] // readme

llama4-scout

Llama 4 Scout: a natively multimodal 109B MoE (17B active, 16 experts) with an extremely long context window.

Get it

arcflare pull unsloth/Llama-4-Scout-17B-16E-Instruct-GGUF:Q4_K_M
arcflare run llama-4-scout-17b-16e-instruct

ArcFlare reads the GGUF header and loads it at the largest context your free VRAM can actually hold. Use arcflare fit to see that before downloading anything else, or arcflare use opencode to code with it.

Highlights

  • Text and images in one model
  • Meta advertises a 10M-token context; ArcFlare loads the largest window your memory can actually hold
  • 17B active parameters per token

Sizes

  • 109b-a17b · 65GB

Other sizes live in sibling repos: swap the size in the repo name when pulling.

[ 03 ] // relatedmore →

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