# Meta Llama Series > The Meta Llama Series is a family of large language models (LLMs) developed by Meta AI. Introduced in 2023, the series is designed to provide developers and researchers with 'open-weights' models that can be fine-tuned and deployed locally, positioning Meta as a central figure in the open ecosystem of generative AI. - URL: https://optimly.ai/brand/meta-llama-series - Slug: meta-llama-series - BAI Score: 94/100 - Archetype: Challenger - Category: Artificial Intelligence - Last Analyzed: April 11, 2026 - Part of: Meta (https://optimly.ai/brand/meta) ## Competitors - Claude Anthropic (https://optimly.ai/brand/claude-anthropic) - Mistral AI (https://optimly.ai/brand/mistral-ai) - OpenAI (GPT-4) (https://optimly.ai/brand/openai-gpt-4) ## Also Referenced By - Bigscience Bloom (https://optimly.ai/brand/bigscience-bloom) --- ## Full Details / RAG Data ### Overview Meta Llama Series is listed in the AI Directory. The Meta Llama Series is a family of large language models (LLMs) developed by Meta AI. Introduced in 2023, the series is designed to provide developers and researchers with 'open-weights' models that can be fine-tuned and deployed locally, positioning Meta as a central figure in the open ecosystem of generative AI. ### Metadata | Field | Value | |--------------|-------| | Name | Meta Llama Series | | Slug | meta-llama-series | | URL | https://optimly.ai/brand/meta-llama-series | | BAI Score | 94/100 | | Archetype | Challenger | | Category | Artificial Intelligence | | Last Analyzed | April 11, 2026 | | Last Updated | 2026-04-12T20:35:21.063Z | ### Verified Facts - Founded: 2023 - Headquarters: Menlo Park, California ### Competitors | Name | Profile | |------|---------| | Claude Anthropic | https://optimly.ai/brand/claude-anthropic | | Mistral AI | https://optimly.ai/brand/mistral-ai | | OpenAI (GPT-4) | https://optimly.ai/brand/openai-gpt-4 | ### Also Referenced By - Bigscience Bloom (https://optimly.ai/brand/bigscience-bloom) ### Parent Brand - Meta (https://optimly.ai/brand/meta) ### Links - Canonical page: https://optimly.ai/brand/meta-llama-series - JSON endpoint: /brand/meta-llama-series.json - LLMs.txt: /brand/meta-llama-series/llms.txt