Meta's Llama LLM Family Continues to Expand
Meta's Llama large language model family now spans from 1 billion to 2 trillion parameters across multiple releases.
Meta's Llama family of large language models (LLMs — AI systems trained on massive text datasets to generate and understand language) has grown significantly since its initial release in February 2023. According to Wikipedia, the Llama lineup now ranges from 1 billion to 2 trillion parameters, with models evolving from foundation-only releases into a broader ecosystem of sizes and capabilities.
The expansion matters for AI practitioners and enterprise buyers weighing open-weight model options against proprietary alternatives from OpenAI, Google, and Anthropic. Llama's range of model sizes means developers can match compute costs to their specific use case — from lightweight on-device inference with smaller variants to large-scale deployments with the biggest models. Meta's continued investment in openly available LLMs keeps competitive pressure on the market and gives researchers and builders more options for fine-tuning and deployment without per-token API fees.