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Brief

Llama

AIProduct· part of Meta Platforms

Freely available, state-of-the-art large language model weights that organizations can fine-tune and deploy on their own infrastructure, enabling powerful AI capabilities without vendor lock-in or data privacy concerns.

Last updated Sep 26, 2026 by ATDb automated enrichment · Connections updated Sep 28, 2026

Founded
2023
HQ
Menlo Park, California, United States
Connections
4

AI-drafted from public sources3 sources cited

At a glance

Employees
10001+
Stock
META
3integrations1corporate family

About

Leading open-weight LLM family globally, widely adopted across enterprise, research, and developer communities as the primary open alternative to proprietary frontier models

Llama is Meta's family of open-weight large language models (LLMs), first released in February 2023. Unlike proprietary models from OpenAI or Google, Llama models are released with publicly available weights under a custom community license, allowing researchers, developers, and enterprises to download, fine-tune, and deploy the models on their own infrastructure. The Llama family has grown through multiple generations — Llama 1, Llama 2, Llama 3, and beyond — with models ranging from small 1B parameter versions to large 405B parameter versions, covering text generation, code generation, instruction-following, and multimodal capabilities. In the AdTech ecosystem, Llama models are increasingly used to power AI-driven advertising tools such as ad copy generation, audience segmentation, creative optimization, sentiment analysis, and conversational ad experiences. Because the weights are open, AdTech companies can fine-tune Llama on proprietary first-party data without sending sensitive audience data to third-party API providers, making it particularly attractive for privacy-conscious applications. Major cloud providers including AWS, Google Cloud, Azure, and Hugging Face offer hosted Llama inference, further lowering the barrier to adoption. Llama has rapidly become one of the most widely adopted open-weight LLM families in the world, with hundreds of millions of downloads and a vast ecosystem of fine-tuned derivatives. It competes directly with proprietary models from OpenAI (GPT-4), Anthropic (Claude), and Google (Gemini), as well as other open-weight models like Mistral and Falcon. Meta positions Llama as a cornerstone of its AI strategy, using it to power features across Facebook, Instagram, WhatsApp, and its Meta AI assistant, while simultaneously releasing it to the broader developer community to accelerate open AI innovation.

Business model

Open-source / Open-weight model distribution with commercial licensing

Target market

Enterprise, Mid-Market, Developers, Researchers

What they offer

  • Llama 3.3

    Latest generation instruction-tuned and base models up to 70B parameters with strong multilingual and reasoning capabilities

  • Llama 3.1 405B

    Meta's largest publicly released model, competitive with GPT-4 class models, available for download and via cloud providers

  • Llama 3.2 Multimodal

    Vision-capable Llama models supporting image understanding alongside text, available in 11B and 90B sizes

  • Llama Guard

    Safety-focused model built on Llama for content moderation and harmful content detection in AI pipelines

  • Code Llama

    Llama fine-tuned specifically for code generation, completion, and explanation across multiple programming languages

  • Llama via Meta AI

    Consumer-facing AI assistant powered by Llama, integrated into Facebook, Instagram, WhatsApp, and Messenger

  • Llama API (Beta)

    Meta's hosted API endpoint for accessing Llama models without self-hosting, currently in limited beta

Key features

Open-weight model release with downloadable weightsMultiple model sizes from 1B to 405B parametersInstruction-tuned and base model variantsMultimodal (text + vision) capabilities in newer versionsCommercial use permitted under Meta's Llama community licenseFine-tuning support for custom domain adaptationBroad cloud provider availability (AWS, Azure, GCP, Hugging Face)Multilingual support across dozens of languagesSafety tooling via Llama Guard and Prompt GuardContext windows up to 128K tokens

Use cases

Ad copy and creative content generationAudience segmentation and persona modelingSentiment analysis of user-generated contentConversational AI and chatbot developmentPersonalized recommendation enginesBrand safety and content moderationSearch and retrieval-augmented generation (RAG) for ad targetingAutomated reporting and insights summarizationCode generation for AdTech platform developmentCustomer support automation

Customer segments

Enterprise software developersAdTech and MarTech platformsAcademic and AI researchersCloud service providersIndependent software vendors (ISVs)Government and regulated industries requiring on-premise AIStartups building AI-native products

Tech & specs

Technology stack

Transformer architecturePyTorch (primary training framework)Grouped Query Attention (GQA)Rotary Positional Embeddings (RoPE)RLHF and DPO for instruction tuningGGUF / GGML quantization formatsvLLM, TGI, Ollama for inference servingHugging Face Transformers integration

Security & compliance

Meta Llama Community License AgreementLlama Guard (built-in safety layer)Prompt Guard (jailbreak detection)GDPR-compatible when self-hostedCCPA-compatible when self-hosted

Deployment

On-premiseCloudHybridEdge / local device

API

Yes

Corporate history
  1. 2023 · Founded
Connection details

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