Meta releases Muse Glimmer 30B
Meta publicly releases the Muse Glimmer 30B model weights and related inference components.
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Meta releases Muse Spark 1.2 and Muse Code beta
Meta releases the coding-focused Muse Spark 1.2 on August 5, 2026, alongside the Muse Code beta.
China orders cancellation of foreign acquisition of Manus project
China's foreign-investment security review office orders the parties to cancel a proposed foreign acquisition of the Manus project.
Meta releases Llama 4
Meta releases its fourth-generation open model family with larger parameter scales and an optimized mixture-of-experts architecture.
Meta releases Llama 3.3
Meta releases a 70-billion-parameter model that consolidates long-context and multilingual capabilities.
Meta releases Llama 3.2
Meta released Llama 3.2 with 1B and 3B lightweight text models and 11B and 90B vision-language models.
Meta releases Llama 3.1
Meta releases a 405-billion-parameter open model with a much longer context window and broader multilingual use.
Meta researchers publish multi-token prediction
Meta FAIR researchers propose training language models to predict several future tokens at once, work that later informs DeepSeek-V3's MTP design.
Meta releases Llama 3
Meta releases its fourth foundation-model generation with more training data and stronger same-scale performance.
Meta releases the Code Llama model family
Meta releases Code Llama 7B, 13B, and 34B checkpoints based on Llama 2, with base, Python, instruction-tuned, and selected fill-in-the-middle variants.
Meta releases Llama 2
Meta releases Llama 2 weights and a commercial license, accelerating the open-model ecosystem.
Meta releases Segment Anything Model as open source
Meta released the promptable Segment Anything Model, along with its code, model, web demo, and the SA-1B dataset.
Meta releases LLaMA
Meta releases the LLaMA foundation-model family, which becomes a basis for much of the later open-model ecosystem.
Meta releases the OPT family with restricted access to OPT-175B
Meta releases the 125M-to-175B OPT family; smaller checkpoints and code are available, while OPT-175B is limited to approved noncommercial research access.
Meta publishes BART research and pretrained models
Meta published the BART denoising sequence-to-sequence model and made code and pretrained weights available through fairseq.
Facebook AI Research releases RoBERTa
Facebook AI Research retrains BERT with more data, larger batches, longer training, dynamic masking, and no next-sentence prediction, then releases the paper, weights, and fairseq implementation.