How much VRAM does Llama 4 Scout need?

Llama 4 Scout requires 60 GB VRAM to run at Q4 quantization (recommended), 119.9 GB for Q8, and 239.8 GB for full FP16 precision. The minimum is 30 GB at Q2 with some quality loss.

What GPU do I need for Llama 4 Scout?

You need at least 60 GB VRAM to run Llama 4 Scout at Q4 quantization. 2 consumer GPUs are compatible. The most popular choice is an NVIDIA RTX-class GPU with 60+ GB VRAM.

Is Llama 4 Scout free to use?

Llama 4 Scout by Meta is available under the Llama 4 license. Check the license terms for commercial use restrictions. You can download and run it for free with Ollama: ollama run llama4:scout

Local Engine Ready

Llama 4 Scout

Name: Llama 4 Scout
Author: Javier Morales

2 consumer GPUs can run Llama 4 Scout at Q4 natively. Precise VRAM thresholds and benchmarks below.

2 Compatible GPUs

3 with offloading

109B params

10000K context

Top pick

M4 Ultra · 128 GB VRAM runs Q4 natively

Check availability See top 3 ↓

Prices and availability may change · affiliate link

Javier Morales AI hardware specialist — 8 years of experience Atualizado 2026-04-08

GitHub: github.com/javier-morales-ia

llama.cpp 0.2.x · CUDA 12 · ROCm 6 · updated monthly · methodology →

Execution Context

ARCHITECTURE TRANSFORMER

CONTEXT 10000K TOKENS

QUANTIZATION 4-BIT GGUF

PROVIDER Meta

LICENSE Llama 4

VRAM REQUIREMENT

60 GB

4GB 8GB 12GB 16GB 24GB+

Hardware Decision

This model requires aFlagship GPU (48 GB+ VRAM)

Minimum

M4 Ultra

Runs at Q4 — functional, some wait

128 GB VRAM

View compatible setup

Balanced

M3 Ultra

Best value for daily use

192 GB VRAM

View compatible setup

Optimal

M4 Ultra

Full quality, fastest inference

128 GB VRAM

View compatible setup

Compatible GPUs for Llama 4 Scout

Best picks by compatibility, VRAM headroom, and value — prices and availability may change.

128 GB VRAM · Q4 native Amazon

M4 Ultra

0.0 (0 avaliações)

Prós

Runs Llama 4 Scout at Q4 natively
128 GB VRAM — adequate headroom

192 GB VRAM · Q4 native Amazon

M3 Ultra

0.0 (0 avaliações)

Prós

Runs Llama 4 Scout at Q4 natively
192 GB VRAM — adequate headroom

Ver M3 Ultra na Amazon →

32 GB VRAM · Offloading Amazon

RTX 5090

0.0 (0 avaliações)

Prós

Works via CPU offloading
32 GB VRAM — adequate headroom

Alguns links são links de afiliado da Amazon. Podemos receber uma comissão sem custo adicional para si. O cookie da Amazon pode durar até 24 horas após o clique.

How to run this model

Check if your GPU can run Llama 4 Scout →

VRAM Calculator — instant compatibility check

M4 Ultra

128 GB · Runs Q4 natively · Check availability

*Prices and availability may change. Some links are affiliate links.

System Requirements

GPU VRAM 60 GB High-end GPU

System RAM 90 GB 64 GB or more

Storage 54.5 GB Q4 · SSD recommended

CPU Any modern CPU GPU required

VRAM by Quantization

Quantization	VRAM needed	Disk space	Quality
FP16 (max quality)	239.8 GB	218 GB	Maximum
Q8 (high quality)	119.9 GB	109 GB	Near-lossless
Q4 (recommended) Best balance	60 GB	54.5 GB	Recommended
Q2 (minimum)	30 GB	27.3 GB	Quality loss

Model Details

Developer	Meta
Parameters	109B
Context window	10,000,000 tokens
License	Llama 4
Use cases	chat, reasoning, vision, analysis
Released	2025-04

Install with Ollama

ollama run llama4:scout

Hugging Face

meta-llama/Llama-4-Scout-17B-16E

View on HF →

Technical Requirements

Can your GPU run Llama 4 Scout?

Llama 4 Scout requires <strong class="text-primary-container">60 GB VRAM</strong> at Q4. 2 consumer GPUs meet this threshold. Below 8 GB or 58 GB you'll hit significant offload latency.

M4 Ultra (128 GB) M3 Ultra (192 GB)

30GB Critical min

60GB Optimal Q4

119.9GB High Quality Q8

239.8GB Max FP16

Hardware Performance Matrix

2 Q4 native · 3 offload

GPU Unit	VRAM	Compatibility	Est. Speed	Action
M4 Ultra	128GB	Optimal	45 tok/s	Calculate →
M3 Ultra	192GB	Optimal	38 tok/s	Calculate →
RTX 5090	32GB	Offload	—	Calculate →
M4 Max 48GB	48GB	Offload	20 tok/s	Calculate →
M4 Max 36GB	36GB	Offload	—	Calculate →

Recommended GPUs for Llama 4 Scout

Benchmarks reais

Sem reviews pagas

Escolha editorial

Baseado em dados

Best picks by compatibility, VRAM headroom, and value — prices and availability may change.

M4 Ultra

128 GB VRAM

Q4 native

Check availability →

M3 Ultra

192 GB VRAM

Q4 native

Check availability →

RTX 5090

32 GB VRAM

Offloading

Check availability →

Alguns links são links de afiliado da Amazon. Podemos receber uma comissão sem custo adicional para si. O cookie da Amazon pode durar até 24 horas após o clique.

Llama 4 Scout — Compatibility guide

Llama 4 Scout with 109B parameters only runs fully in multi-GPU or server configurations. Consider distilled versions if available. The VRAM calculator can help you find compatible alternatives.

Compare GPUs for Llama 4 Scout

Which GPU is worth it? Real specs and benchmarks side by side.

Compare top GPUs →

M4 Ultra vs M3 Ultra

Compatible Hardware

GPUs that run Llama 4 Scout at Q4 — sorted by AI performance score.

Benchmarks reais

Sem reviews pagas

Baseado em dados

M4 Ultra

Apple · 128 GB VRAM

Q4 OK

45 tok/s > $1000

View analysis View on Amazon →

M3 Ultra

Apple · 192 GB VRAM

Q4 OK

38 tok/s > $1000

View analysis View on Amazon →

Alguns links são links de afiliado da Amazon. Podemos receber uma comissão sem custo adicional para si. O cookie da Amazon pode durar até 24 horas após o clique.

More Practical Alternatives

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Mistral Small 3.1

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Not sure which GPU you need for Llama 4 Scout?

The VRAM Calculator tells you exactly which quantization your hardware can handle.

Open Calculator Full Hardware Wizard

Recomendado: M4 Ultra

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