Category: Meta models

This category contains 13 pages.

  • Code Llama · Meta AI's August 2023 family of open-weight code-specialized language models derived from Llama 2, released in 7B to 70B sizes.
  • LLaMA · Meta's February 2023 research models (7B-65B); their prompt leak seeded the open-source LLM ecosystem.
  • Llama (model family) · Meta's open-weight model line; the LLaMA leak of 2023 seeded the modern open-source LLM ecosystem.
  • Llama 2 · Meta's July 2023 openly licensed models (7B-70B) with RLHF chat variants; made open weights an official corporate strategy.
  • Llama 3 · Meta's 2024 generation: 8B/70B in April, the 405B frontier-scale release in July; the herd paper documented open training at frontier scale.
  • Llama 3.1 · Meta AI's July 2024 open-weight model family (8B, 70B, 405B), whose 405B variant was widely described as the first open-weight model competitive with frontier closed systems.
  • Llama 3.2 · Meta AI's September 2024 Llama release adding small on-device text models (1B, 3B) and the family's first vision-capable models (11B, 90B).
  • Llama 3.3 · Meta AI's December 2024 open-weight 70B instruct model, developer-reported to approach Llama 3.1 405B quality at a fraction of the serving cost.
  • Llama 4 · Meta's April 2025 MoE generation (Scout, Maverick; Behemoth unreleased); a mixed reception that preceded Meta's Superintelligence Labs reorganization.
  • Movie Gen · Meta AI's October 2024 suite of media foundation models for text-to-video and synchronized audio generation, shown as a research preview without a public release.
  • OPT · Meta AI's May 2022 suite of open decoder-only language models, from 125M to 175B parameters, released with weights, code, and a candid training logbook.
  • RoBERTa · Facebook AI's July 2019 replication study of BERT that showed the original model was significantly undertrained, setting new benchmark records with an optimized pretraining recipe.
  • Segment Anything · Meta AI's April 2023 promptable image segmentation model (SAM), released with the 1.1-billion-mask SA-1B dataset.