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Foundation, generative, multimodal and specialised models.

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2024

  • Dec 26, 2024 DeepSeek-V3

    DeepSeek-V3 is an open-weight mixture-of-experts language model that DeepSeek released in December 2024. Each token uses 37 billion of its 671 billion parameters, and DeepSeek describes its chat model as comparable to leading closed-source systems.

    Large language modelsOpen sourceChina

  • Dec 12, 2024 Phi-4

    Phi-4 is Microsoft's 14-billion-parameter dense decoder-only language model, built with a data-quality-first recipe heavy on synthetic data and released with full weights under the MIT licence in January 2025.

    Large language modelsOpen sourceReasoning

  • Dec 4, 2024 Genie 2

    Genie 2 is a foundation world model from Google DeepMind, announced on 4 December 2024, that turns a single prompt image into a playable 3D environment that a person or an AI agent can explore with keyboard and mouse controls.

    Agents & tool useGenerative modelsSimulation

  • Dec 3, 2024 Amazon Nova

    Amazon Nova is Amazon's family of foundation models, introduced on 3 December 2024 and offered exclusively in Amazon Bedrock. It spans text understanding models from Micro to Pro, plus Canvas for images and Reel for video, and was succeeded by Nova 2 in December 2025.

    Large language modelsEnterpriseMultimodal

  • Nov 26, 2024 OLMo 2

    OLMo 2 is the second generation of the Allen Institute for AI's fully open language model family, released in 7B and 13B sizes with weights, data, code and training recipes all public.

    Large language modelsOpen sourceData & datasets

  • Nov 2024 SmolLM2

    SmolLM2 is Hugging Face's second family of small language models, released in November 2024 at 135M, 360M and 1.7B parameters, with open weights and a data-centric training recipe.

    Large language modelsOpen sourceConsumer apps

  • Oct 16, 2024 Ministral 3B and 8B

    Ministral 3B and Ministral 8B are two small Mistral AI language models released on 16 October 2024 for on-device and edge use, offering long context, low API prices and, for the 3B, performance Mistral claimed beat its earlier 7B model.

    Large language modelsEnterpriseHardware & compute