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Model families and named models

525 articles

General

OpenAI text-embedding-3

text-embedding-3 is a family of OpenAI text embedding models released in January 2024, in small and large versions that convert text into vectors for search, clustering, and retrieval-augmented generation.

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OpenChat

OpenChat is a series of open-source large language models fine-tuned for conversation, led by Guan Wang. Its compact 7B models run on consumer GPUs and use the C-RLFT training method.

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OpenELM

OpenELM is a family of four small open-weight language models released by Apple in April 2024, in 270 million to 3 billion parameter sizes, each with an instruction-tuned variant.

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OpenFold

OpenFold is an open-source, trainable reproduction of DeepMind's AlphaFold2 protein-structure prediction model, built by a non-profit consortium and extended into OpenFold3 for cofolding proteins, nucleic acids, and small molecules.

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OpenHands

OpenHands, formerly OpenDevin, is an open-source platform for AI coding agents, begun in March 2024 and developed by the company OpenHands, co-founded by Graham Neubig.

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OpenHermes

OpenHermes is a series of open-source instruction-tuned large language models and an instruction dataset created by Teknium, best known for OpenHermes-2.5-Mistral-7B, a Mistral 7B fine-tune released in November 2023.

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OpenLLaMA

OpenLLaMA is an open source, Apache 2.0 licensed reproduction of Meta AI's LLaMA language model, developed by OpenLM Research and trained on the open RedPajama dataset.

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OpenMDW license

The OpenMDW license (Open Model, Data, and Weights) is a permissive, weights-first license for AI model distributions, published in 2025 by the Linux Foundation and used by NVIDIA for 19 models.

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OpenRAIL licenses

OpenRAIL licenses, or Responsible AI Licenses, are AI model licenses that pair royalty-free open access to model weights with prohibited-use restrictions that bind every downstream derivative.

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OpenVLA

OpenVLA is a 7-billion-parameter open-source vision-language-action model for robot manipulation, released in June 2024 and trained on 970,000 real-robot trajectories from the Open X-Embodiment dataset.

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OpenVoice

OpenVoice is an open-source instant voice-cloning model family created by MyShell, first deployed in May 2023, that replicates a speaker's tone color from a short audio clip.

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OPT (Meta model family)

OPT (Open Pre-trained Transformer) is a family of language models released by Meta AI in May 2022, with sizes from 125 million to 175 billion parameters, roughly matching GPT-3.

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OPT-175B

OPT-175B is a 175-billion-parameter language model built by Meta AI like GPT-3 and released to researchers in May 2022 with training code and a complete training logbook.

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Orca (language models)

Orca is a family of small instruction-tuned language models from Microsoft Research that learns reasoning from GPT-4's explanation traces; its successor, Orca 2, released in November 2023, picks its own reasoning strategy per task.

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PaLI / PaLI-X

PaLI and PaLI-X are Google's multilingual vision-language models for image captioning and question answering in over 100 languages, with PaLI-X reaching 55 billion parameters in 2023.

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PaliGemma

PaliGemma is an open vision-language model family from Google, first released in May 2024, combining the SigLIP image encoder with a Gemma decoder for fine-tuning on vision-language tasks.

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PaLM (model family)

PaLM, or Pathways Language Model, was a family of large language models developed by Google, announced in 2022, that powered Bard and over 25 Google products.

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Pangu (盘古) (model family)

Pangu (盘古) is a family of large language models developed by Huawei's Noah's Ark Lab, first released in April 2021 and focused on Chinese-language enterprise applications.

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Parakeet (AI model)

Parakeet is a family of open automatic speech recognition models from NVIDIA's NeMo toolkit, whose English v2 model topped the Hugging Face Open ASR Leaderboard in 2025.

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Parti

Parti (Pathways Autoregressive Text-to-Image) is a text-to-image model published by Google Research in June 2022 that generates images token by token like a language model, scaled to 20 billion parameters but never publicly released.

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Phi (small language model family)

Phi is a family of small language models developed by Microsoft, running from Phi-1 through Phi-4, built on curated textbook-quality training data and used on phones, laptops, and Copilot+ PCs.

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Phi-3

Phi-3 is a family of open small language models developed by Microsoft, first released in April 2024 with phi-3-mini, a 3.8 billion parameter model rivals said competed with GPT-3.5.

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Phi-4

Phi-4 is a 14-billion-parameter large language model released by Microsoft in December 2024, trained mostly on synthetic data to match larger models on math and STEM reasoning.

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Pika (AI model)

Pika is a family of text-to-video, image-to-video, and video-editing AI models developed by Pika Labs, founded in 2023, best known for viral one-click effects such as inflate, melt, and cake-ify.

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Piper TTS

Piper TTS is a fast, open-source neural text-to-speech system that runs entirely on local CPUs, including the Raspberry Pi, offering over 100 voices in more than 30 languages.

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PixArt

PixArt is an open-weight text-to-image model family built on a Diffusion Transformer rather than a UNet, first released in October 2023 and known for training at a fraction of the usual cost.

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Pixtral

Pixtral is a family of open-weight vision-language models released by Mistral AI in 2024: Pixtral 12B under Apache 2.0 and the 124B Pixtral Large, both since discontinued.

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PixVerse

PixVerse is a family of proprietary AI video-generation models developed by Aishi Technology, a Singapore- and Beijing-headquartered startup founded in 2023 by former ByteDance and Tencent senior researchers.

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Playground v2.5

Playground v2.5 is a 3-billion-parameter open-weights text-to-image diffusion model released by Playground in February 2024, using the Stable Diffusion XL architecture trained from scratch for higher aesthetic quality.

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Poolside (model family)

Poolside is a family of open-weight code foundation models from the company Poolside, founded in 2023, whose Laguna models are trained with reinforcement learning that rewards code that actually executes.