LLaMA

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LLaMA is an open-source AI model family by Meta AI, offering multilingual text and multimodal models. It provides optimized models for easy deployment, cost efficiency, and performance that scales to billions of users.

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At a glance

Pricing

Open Source

Free tier

Yes

API

Yes

Skill level

Technical

About

What is LLaMA?

LLaMA is an industry-leading, open-source AI model family developed by Meta AI, designed for developers to build and deploy AI applications. It features a range of models, including the latest Llama 4 series (Maverick and Scout) which offer native multimodality, advanced reasoning, and extensive context windows up to 10M tokens. Llama models are optimized for easy deployment, cost efficiency, and performance, supporting various use cases from long document analysis and image understanding to synthetic data generation and multilingual translation. The platform also provides resources for model optimization, including prompt engineering, fine-tuning, quantization, and distillation, making it suitable for a wide array of applications and hardware environments.

Best used for

Ideal for developers and AI researchers who need to build custom AI applications, fine-tune models for specific tasks, and deploy scalable solutions. Especially valuable for those working with multimodal data, long-form content analysis, and multilingual applications, seeking high performance and cost efficiency.

Common actions

build AI models

deploy AI applications

fine-tune language models

develop multimodal AI

optimize model performance

AI developmentsopen-source AI modelsmultilingual text models

Capabilities

Key features

Native multimodality
10M-token context window
Advanced reasoning
Multilingual support
Model optimization tools
Cost-efficient deployment

Target Audience

professorstudent

Integrations

hugging-facegithubamazon-web-servicesmicrosoft-azuregoogle-cloudibm-watsonxoracle-cloudsnowflake+ 1 more

Pricing & Plans

Open Source

Not publicly disclosed. Check llama.meta.com for current pricing.

FAQs

Are Llama models truly open source?

Llama models are licensed under a bespoke commercial license that balances open access with responsible use. While broadly available to developers and licensees, it's important to review the specific Llama Community License Agreement and Acceptable Use Policy for full terms and restrictions.

Can I use Llama model outputs to train other AI models?

For Llama 2 and Llama 3, the license restricts using outputs to train other AI models. However, starting with Llama 3.1 and later versions, this is permitted provided you include the correct attribution to Llama, as detailed in the license.

Do Llama models support languages other than English?

While Llama 2 and Llama 3 were primarily English-trained, Llama 3.1, Llama 3.2, Llama 3.3, and Llama 4 support additional languages and are considered multilingual. Performance levels may vary compared to English, so consult model cards for specifics.

What are the hardware requirements for deploying Llama models?

Hardware requirements vary significantly based on the specific Llama model, desired latency, throughput, and cost constraints. Llama models are designed to run performantly on a wide range of hardware, including GPUs, CPUs, TPUs, NPUs, and AI Accelerators, with smaller models suitable for edge devices.

Can EU-based individuals or companies use Llama multimodal models?

EU-based individuals cannot use Llama multimodal models for individual purposes. EU-based companies are restricted from developing or distributing with these models. However, non-EU companies can use EU-based developers and distribute products incorporating Llama multimodal models within the EU.

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Code Assistants DevOps & Infrastructure No-Code / Low-Code Testing & QA Backend & APIs Prompt Engineering

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