Meta17B active / 400B total~242 GB VRAM at Q4_K_M

Llama 4 Maverick 17B — VRAM, speed & local setup

Written by Jakub Rusinowski · Last updated

The premium Llama 4 model. 128 experts with 17B active parameters. Matches GPT-4o in benchmarks. Its 400B total parameters must all be resident, which is roughly 242 GB at Q4_K_M — a multi-GPU server or a 256 GB+ unified-memory system. The 17B active count sets its speed, not its memory footprint.

Llama 4 Maverick 17B needs about 242 GB of VRAM at Q4_K_M — quantized weights plus framework overhead, before any KV cache. On Apple Silicon that figure comes out of unified memory.

Logic94
Creative90
Coding92

VRAM and speed by quantization

Quoted against NVIDIA RTX 4090 (24 GB). Includes the KV cache at 8K context, so it reads higher than the headline figure.

QuantVRAMSpeed (est.)Fit
Q2_K
2.63 bpw
133.9 GB—Too big
Q3_K_M
3.41 bpw
172.9 GB—Too big
Q4_K_M
4.83 bpw
243.9 GB—Too big
Q5_K_M
5.67 bpw
285.9 GB—Too big
Q6_K
6.56 bpw
330.4 GB—Too big
Q8_0
8.50 bpw
427.4 GB—Too big
F16
16.00 bpw
802.4 GB—Too big

Black marker = usable memory on the NVIDIA RTX 4090 (24 GB). Estimates from the memory-bandwidth roofline on the methodology page. Llama 4 Maverick 17B VRAM calculator →

Get Llama 4 Maverick 17B running

The cheapest catalogued GPU that runs Llama 4 Maverick 17B is the Apple M3 Ultra (512 GB).

Buy this hardware Apple Mac Studio M3 Ultra — 512 GB VRAM · 60 W board powerDeploy in the cloud now RunPod

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Apple Mac Studio M3 Ultra
512 GB VRAM · 60 W board power
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How to run Llama 4 Maverick 17B

Install Ollama, then run:

ollama run llama4:maverick

Specifications

Curated — A hand-written entry from before this catalogue recorded its sources. The figures are long-standing but their provenance is not on file.

Parameters
400 Billion (17B active)
Context window
1,000,000
Architecture
MoE (128 experts)
Provider
Meta
Licence
Llama 4 Community
Practical deployment
Workstation (large unified memory or pro GPU)
Specified at
Q4_K_M
System RAM
32 GB
Record updated
2025-04-05
LicenceLlama CommunityCommercial use permitted

Weights are downloadable and commercial use is permitted, subject to the licence’s acceptable-use terms.

Quality and use cases

Scores as published by the model’s authors or an independent evaluator — quality, not throughput, and not measured by us.

Best forcodingreasoningchatcomplex tasks

Can I run Llama 4 Maverick 17B on my GPU?

Other Llama 4 sizes

Llama 4 Maverick 17B — frequently asked questions

How much VRAM does Llama 4 Maverick 17B need?

About 242 GB at Q4_K_M — quantized weights plus framework overhead, before any KV cache. The cache grows with context length and is added on top; the table above folds it in. Apple Silicon counts unified memory toward the same figure.

Does Llama 4 Maverick 17B run on an RTX 4090 (24 GB)?

No. Llama 4 Maverick 17B needs about 242 GB at Q4_K_M, more than a single RTX 4090's 24 GB. It needs a larger card, several GPUs, or Apple Silicon with enough unified memory — or it runs with part of the weights offloaded to system RAM, which is much slower.

How do I run Llama 4 Maverick 17B locally?

Install Ollama and run `ollama run llama4:maverick`. That pulls the weights and starts a local OpenAI-compatible endpoint; after the download nothing leaves the machine.

What other sizes does Llama 4 come in?

Llama 4 Scout 17B (67 GB), Llama 4 Maverick 17B (242 GB). Every size shares the family's training and licence; the larger ones score higher and need proportionally more memory.