What's My AIModel fit page built from catalog review, runtime coverage, and benchmark-oriented hardware guidance.
Model fit120B

can i run it

Can I run Llama 4 Scout locally?

Llama 4 Scout is the first serious American multimodal long-context step once a machine can already absorb 100B-class local packaging. This page answers the practical parts of the question: what class of computer is enough, which runtime gives the lowest-friction first run, and which nearby models may fit better.

minimum tier120B
minimum memory67.0 GB
comfortable memory80.0 GB
runtime coverageOllama, LM Studio, and llama.cpp paths tracked

why this model

Llama 4 Scout is worth checking when you want long-context multimodal.

This shortlist stays inside verified American model releases. Llama 4 Scout gets the nod because it is the strongest long-context American multimodal option in the 120B band; the tradeoff is a heavier and more caveat-prone local runtime story than gpt-oss-120b. Verified 2026-03-12 · review by 2026-04-11.

Benchmark this deviceCompare known machines

hardware fit

What kind of computer should handle Llama 4 Scout?

These reference hardware classes show the minimum benchmark band where this model starts to make sense.

reference band

Ultra workstation

120B class • 128 GB reference memory

Extreme desktop class hardware with enough headroom for gpt-oss-120b-class local inference.

reference band

AI studio desktop

Frontier MoE class • 192 GB reference memory

A maxed-out studio desktop or custom AI tower that can plausibly target the newest frontier open-weight MoE releases.

runtime paths

Where should you start?

LM StudioCommunity path

Community GGUF import path for LM Studio.

Download path. lmstudio-community/Llama-4-Scout-17B-16E-Instruct-GGUF

lms get https://huggingface.co/lmstudio-community/Llama-4-Scout-17B-16E-Instruct-GGUF
Read LM Studio guideOpen runtime evidence
llama.cppCommunity path

Community GGUF import path for llama.cpp; expect more caveats than dense text-only models.

Download path. lmstudio-community/Llama-4-Scout-17B-16E-Instruct-GGUF

llama-server -hf lmstudio-community/Llama-4-Scout-17B-16E-Instruct-GGUF -c 1000000 --port 8080
Read llama.cpp guideOpen runtime evidence

related pages

Nearby models and runtimes

P0Static

Runtime page

Best local models for Ollama

Search intent: ollama best model

Best for the quickest path from benchmark result to a real local run.

Runtime guide + catalog coverage

Open page
P1Static

Runtime page

Best local models for llama.cpp

Search intent: llama.cpp best model

Best for people who care about low-level control, serving flags, and GGUF tuning.

Runtime guide + catalog coverage

Open page

evidence sources

Evidence sources

  • Model provenance review: Verified 2026-03-12 · review by 2026-04-11 for Llama 4 Scout and the surrounding reviewed catalog. Open page
  • Benchmark methodology: How the benchmark confirms whether Llama 4 Scout fits a real machine before download time. Open page
  • Ollama tracked path: Official Ollama package for the Scout tag. Open source
  • LM Studio tracked path: Community GGUF import path for LM Studio. Open source
  • llama.cpp tracked path: Community GGUF import path for llama.cpp; expect more caveats than dense text-only models. Open source