Multimodal

Llama license / check exact model cardOpen weightsUpdated August 2026Frontier 2026

Llama 4 Maverick

Open-weight Llama 4 model positioned for multimodal, reasoning, and general assistant workflows.

Meta · Llama

Editorial review

Reviewed byOpenSourcesAI EditorialLast updatedAugust 2026SourcesHugging Face model card (meta-llama/Llama-4-Maverick-17B-128E-Instruct)

Model checkpoints, context windows, provider support, local runtime compatibility, and license terms can change quickly. Verify the exact model card before production or commercial use.

Best for

Builders comparing current Llama-family models for assistant, multimodal, and reasoning-oriented workflows.

Who should use it

  • Builders comparing current Llama-family models for assistant, multimodal, and reasoning-oriented workflows.
  • Builders who want local or self-hosted testing options.

Common workflows

  • Multimodal, reasoning, and general assistant workflows
  • multimodal workflows
  • reasoning workflows
  • assistant workflows
  • open weights workflows

Deployment and hardware notes

Full deployments may need high-memory GPUs or hosted inference; local testing depends on available quantized builds.

License and usage notes

Llama license / check exact model card. Open weights. Verify the exact model card and license terms for the checkpoint or hosted provider you use.

Strengths

  • Open weights model option for Llama workflows.
  • Builders comparing current Llama-family models for assistant, multimodal, and reasoning-oriented workflows.
  • Evaluate local fit with the exact checkpoint and quantization available for your runtime.
  • Tracked as Frontier 2026 in the OpenSourcesAI model directory.

Limitations

  • Review license terms, availability, runtime support, and hardware requirements for the exact release before standardizing.
  • Full deployments may need high-memory GPUs or hosted inference; local testing depends on available quantized builds.
  • Context window and limits: 1,048,576 tokens (~1M), confirmed from the model's published config.
  • Verify the exact model card, provider docs, license, and serving support before production use.

Local workflow notes

Evaluate local fit with the exact checkpoint and quantization available for your runtime.

Local runtimes: Transformers, vLLM where supported

Platforms: Windows, macOS, Linux, Self-hosted servers

Frontier-model verification note

This page is written to stay accurate as of the latest available 2026 public model information. Availability, licenses, context windows, API support, pricing, benchmark standing, and local-serving support can change quickly. Verify the official model card, provider docs, and license before using this model in production or commercial workflows.

Sources to verify

Hugging Face model card (meta-llama/Llama-4-Maverick-17B-128E-Instruct)

Related resources

Continue with model source notes, local tools, and implementation guides related to this model.

Llama family hubAI tools directoryModel source notesModels directoryGuides library
Hardware~243 GB at Q4_K_M (401.6B total parameters, 128-expert MoE) — multi-GPU or server classRuntimevLLM, Transformers, hosted providers where supportedContext1,048,576 tokens (~1M), confirmed from the model's published configLast updated2026
Hugging Face model card (meta-llama/Llama-4-Maverick-17B-128E-Instruct) →

Model ecosystem connections

Use these next-step links to move from this profile into related tools, comparisons, guides, stacks, and curated shortlists.

Recommended runtimes and tools

Transformers →vLLM →Ollama →LM Studio →llama.cpp →

Setup and deployment

What is quantization? GGUF, Q4, Q8 explained →RunPod — managed GPU cloud →Lambda Labs — A100 / H100 on demand →Vast.ai — crowdsourced GPU marketplace →

Related model pages

Llama family hub →Llama 4 Scout →Llama Guard 3 →Llama 3.1 405B Instruct →Phi-4 Multimodal →Llama 3.3 70B →Llama 3 8B →

Guides, stacks, and comparisons

AI tools directory →Model selection guide →All model comparisons →

Related models

Llama 4 ScoutTeams evaluating Llama-family models for multimodal assistant, long-context, and application workflows.Llama Guard 3Safety checks, guardrail experiments, and policy classification workflows.Llama 3.1 405B InstructServer-class assistant evaluation and comparisons against smaller Llama variants.Phi-4 MultimodalSmall multimodal and edge experimentsLlama 3.3 70B70B open-weight model in the Llama family.Llama 3 8B8B open-weight model in the Llama family.

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