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Foundation, generative, multimodal and specialised models.

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2026

2025

2024

  • 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

  • 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

  • Sep 25, 2024 Molmo

    Molmo is a family of open vision-language models released by Ai2 on 25 September 2024 that can point at objects in images, with weights, code, data and evaluations published openly.

    Open sourceMultimodalData & datasets

  • Sep 12, 2024 OpenAI o1

    OpenAI o1 is the first reasoning model series from OpenAI, introduced in September 2024. It thinks through a long internal chain of thought before answering, and it was the base for later reasoning models such as o3.

    Large language modelsReasoningSafety & governance

  • Jul 29, 2024 SAM 2 (Segment Anything Model 2)

    SAM 2 is Meta's 2024 successor to the Segment Anything Model. It segments objects in both images and videos in real time, and its release included the SA-V video dataset.

    Open sourceFoundation modelsData & datasets

  • Jul 16, 2024 SmolLM

    SmolLM is a family of small language models with 135M, 360M and 1.7B parameters, released openly by Hugging Face in July 2024 for on-device use and trained on a purpose-built corpus of generated textbooks, code and filtered web text.

    Large language modelsOpen sourceConsumer apps

  • Jun 14, 2024 Nemotron-4 340B

    Nemotron-4 340B is a family of open models from NVIDIA, released on 14 June 2024 as base, instruct and reward models. It was built to generate synthetic data for training other language models, and it fits on a single eight-GPU DGX H100.

    Large language modelsOpen sourceEnterprise

  • Jun 10, 2024 Apple Foundation Models (AFM, 2024)

    Apple Foundation Models (AFM, 2024) are the first generation of the models behind Apple Intelligence: a roughly 3-billion-parameter on-device model and a larger server model that runs in Private Cloud Compute.

    Large language modelsConsumer appsFoundation models

  • May 2024 Octo

    Octo is an open-source generalist robot policy: a transformer-based diffusion model trained on 800,000 robot trajectories that can drive a range of robots out of the box and be fine-tuned to new setups.

    Open sourceDeep learningFoundation models

  • Apr 22, 2024 OpenELM

    OpenELM is a family of small open language models from Apple, published in four sizes from 270M to 3B parameters with its training framework, logs, checkpoints and MLX conversion code.

    Large language modelsResearch historyOpen source

  • Feb 28, 2024 StarCoder2

    StarCoder2 is a family of open code models in 3B, 7B and 15B sizes, released in February 2024 by BigCode (Hugging Face and ServiceNow) with NVIDIA and trained on The Stack v2, published together with its dataset and training code.

    Large language modelsOpen sourceData & datasets

  • Feb 23, 2024 Genie

    A Google DeepMind generative world model with 11 billion parameters that turns text, images or sketches into controllable virtual worlds, described as the first generative interactive environment trained on unlabelled internet videos without action labels.

    Research historyGenerative modelsSimulation

  • Feb 1, 2024 OLMo

    OLMo is the Allen Institute for AI's open language model, released on 1 February 2024 in 1B and 7B sizes with its Dolma training data, training code, logs and checkpoints, all under Apache 2.0.

    Large language modelsResearch historyOpen source

  • Feb 2024 Aya 101

    Aya 101 is a 13-billion-parameter, instruction-tuned language model from Cohere For AI that follows instructions in 101 languages. It was released under Apache 2.0 in February 2024.

    Large language modelsOpen sourceFoundation models

2023

  • Dec 12, 2023 Phi-2

    Phi-2 is a 2.7-billion-parameter base language model from Microsoft Research, announced on 12 December 2023. Microsoft reported that it matched or beat models up to 25 times larger on complex benchmarks, making it a reference point for small-model training.

    Large language modelsOpen sourceReasoning

  • Nov 29, 2023 GNoME (Graph Networks for Materials Exploration)

    GNoME is a Google DeepMind deep-learning tool, announced on 29 November 2023, that predicts new inorganic crystals; it produced 2.2 million candidate structures, of which 380,000 were predicted to be stable.

    Deep learningData & datasetsScience

  • Nov 14, 2023 GraphCast

    GraphCast is a Google DeepMind machine-learning model that makes global weather forecasts up to 10 days ahead, producing a 10-day forecast in under a minute on a single TPU and outperforming ECMWF's HRES on most tested variables.

    Open sourceDeep learningScience

  • Sep 25, 2023 GPT-4V (GPT-4 with vision)

    GPT-4V is a version of GPT-4 that accepts image input alongside text, documented in OpenAI's system card of 25 September 2023 and released to developers through preview API models; image understanding later became native in GPT-4o.

    Large language modelsMultimodalSafety & governance

  • Sep 11, 2023 Phi-1.5

    Phi-1.5 is a 1.3-billion-parameter language model from Microsoft Research, trained on curated synthetic "textbook" text rather than web crawls; its report claims natural-language performance comparable to models five times larger.

    Large language modelsOpen sourceReasoning

  • Jul 5, 2023 Pangu-Weather

    Pangu-Weather is a three-dimensional deep-learning model for medium-range global weather forecasting, published in Nature in 2023; on reanalysis data it produced stronger forecasts than ECMWF's operational system across all tested variables.

    ChinaDeep learningScience

  • Jun 20, 2023 Phi-1

    Phi-1 is a 1.3-billion-parameter Transformer language model for Python from Microsoft Research, which showed that filtered and synthetic "textbook quality" training data can partly substitute for model and data scale.

    Large language modelsOpen sourceData & datasets

  • May 4, 2023 StarCoder

    StarCoder is an open-access code language model of about 15.5 billion parameters, released on 4 May 2023 by the BigCode project led by Hugging Face and ServiceNow.

    Large language modelsOpen sourceData & datasets