Llama 3
Llama 3 is a family of open-weight large language models developed by Meta. Meta released the original Llama 3 checkpoints on April 18, 2024, in 8-billion-parameter and 70-billion-parameter sizes.
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Llama 3 is a family of open-weight large language models developed by Meta. Meta released the original Llama 3 checkpoints on April 18, 2024, in 8-billion-parameter and 70-billion-parameter sizes.
Llama 3.1 is a family of open-weight large language models released by Meta on July 23, 2024, in three sizes, 8 billion, 70 billion, and 405 billion parameters, each shipped in both a pre-trained base form and…
Llama 3.2 is a family of four open-weight large language models released by Meta on September 25, 2024, comprising lightweight 1 billion and 3 billion parameter text-only models for on-device AI and the 11…
Llama 3.3 is an instruction-tuned, text-only large language model with 70 billion parameters that Meta released on December 6, 2024
Llama 4 Behemoth is the announced but never publicly released flagship model in the Llama 4 family from Meta AI.
Llama 4 Scout and Llama 4 Maverick are open-weight, natively multimodal AI large language models developed by Meta and released on April 5, 2025.
Llama-3.1-Nemotron-70B-Instruct is a large language model released by NVIDIA in October 2024.
LongCat-Flash is an open-weight large language model developed by the LongCat team at Meituan, the Chinese on-demand local-services and food-delivery company.
MAGI-2 Preview is a public research release of a unified audio-video generation model developed by Sand.ai.
MAI-1-preview is a large language model developed by Microsoft AI, the consumer artificial intelligence division of Microsoft led by Mustafa Suleyman.
MiniCPM is a family of compact, openly licensed language models published by OpenBMB, the shared open-source brand of Tsinghua University's natural language processing lab (THUNLP) and the Beijing company…
MiniCPM5-2B is an open-weights small language model published by OpenBMB on September 7, 2026 under the Apache License 2.0.
MiniMax H3 (also written MiniMax-H3) is a multimodal video generation model developed by MiniMax, the Shanghai-based AI company that operates the Hailuo AI video service.
MiniMax M2 is an open-weight large language model released on October 27, 2025 by the Shanghai-based AI company MiniMax, built as a Mixture of Experts model with 230 billion total parameters and roughly 10…
Ministral is a family of two small language models released by the French artificial intelligence company Mistral AI on October 16, 2024.
Mixtral 8x22B is a sparse mixture-of-experts (MoE) large language model released by the French AI company Mistral AI on April 17, 2024.
Molmo is a family of open-weight, open-data vision-language models (VLMs) released by the Allen Institute for AI (Ai2) on 25 September 2024.
Moshi is a full-duplex speech-to-speech foundation model developed by Kyutai, a French nonprofit artificial intelligence research laboratory.
Muse Glimmer is an open-weight text-and-image model developed by Meta AI for local agent and coding workloads. Meta released the model on August 10, 2026 under the identifier meta-models/Muse-Glimmer-30B.
Muse Spark Open is an open-weight multimodal reasoning model released by Meta Superintelligence Labs on October 15, 2026.
NVIDIA Isaac GR00T N1 is an open foundation model for humanoid robots developed by NVIDIA and unveiled by Jensen Huang on March 18, 2025 at the company's annual GTC conference in San Jose, California.
NVIDIA Ising is a family of open AI models from NVIDIA for operating quantum computers, covering two of the field's main engineering bottlenecks: quantum processor calibration and quantum error-correction…
Nemotron is NVIDIA's brand for its family of open large language models and the datasets, training recipes, and evaluation tools built around them.
Nemotron 3 is a family of open-weights large language model systems released by NVIDIA beginning on December 15, 2025, built for agentic AI and consisting of three sparse mixture-of-experts variants named…
NVIDIA Nemotron 3.5 Lightning is an open-weights 30 billion parameter mixture-of-experts language model with 3 billion active parameters per token, released by NVIDIA on August 11
NVIDIA Nemotron 3.5 Transcribe (released as NVIDIA-Nemotron-3.5-Transcribe-30B-A4B) is an open-weight speech and audio model from NVIDIA that turns recorded audio, together with a text instruction, into text.
Nemotron Nano 2 is a family of small, open-weight reasoning language models released by NVIDIA on August 18, 2025
Nemotron-4 is a family of decoder-only large language models developed by NVIDIA and documented in two technical reports released in 2024.
Nemotron-H is a family of open-weight large language models released by NVIDIA in April 2025 that replace most of the self-attention layers of a standard Transformer with Mamba-2 state-space layers, producing…
Nemotron-Labs-TwoTower is an open-weight diffusion language model released by NVIDIA in mid-2026.
North Mini Code is an open-weight large language model developed by Cohere for agentic software development and AI code generation.
OLMo (Open Language Model) is a family of fully open large language models built by the Allen Institute for AI (Ai2) and first released on February 1, 2024.
OLMo 2 is the second generation of fully open large language models released by the Allen Institute for AI (Ai2), spanning 7B, 13B, and 32B parameter sizes.
OLMo 3 is the third generation of fully open language models released by the Allen Institute for AI (Ai2).
OLMoE (Open Mixture-of-Experts) is a fully open sparse mixture of experts large language model released by the Allen Institute for AI (Ai2) on September 3, 2024.
Omnilingual ASR (Omnilingual Automatic Speech Recognition) is an open-source family of speech recognition models from Meta's Fundamental AI Research team (FAIR) that transcribes speech in more than 1,600…
Open weights is the practice of publishing the trained parameter tensors of a neural network so that anyone can download, run, fine-tune, and redistribute the model without obtaining a separate inference…
OpenPI (stylized openpi) is the open-source repository of robot foundation models, training code, and inference utilities published by Physical Intelligence, the San Francisco robotics and AI startup…
OpenVLA is a 7-billion-parameter open-source vision-language-action model (VLA) for robotic manipulation, released in June 2024 by a collaboration of researchers from Stanford University, UC Berkeley, the…
Phi-4 is a 14-billion-parameter small language model developed by Microsoft Research and released in December 2024, designed to match or beat models several times its size on reasoning tasks by training…
Phi-4-reasoning is a 14 billion parameter open weight reasoning model released by Microsoft Research on April 30, 2025.
Phi-4-mini is a 3.8 billion parameter open weight small language model released by Microsoft on February 26, 2025, under the permissive MIT license.
Phi-4-mini-flash-reasoning is a 3.8 billion parameter open weight reasoning model released by Microsoft in July 2025.
Pika H3 Flex is an open-weight video and audio generation model family released by Pika, the company operated by Mellis, Inc., on October 29, 2026.
Pixtral is a family of multimodal vision-language models developed by Mistral AI, a French AI company founded in April 2023.
Pixtral Large is a 124-billion-parameter multimodal (vision-language) large language model released by Mistral AI on November 18, 2024.
Qwen3 is the third-generation family of large language models developed by the Qwen Team at Alibaba Cloud (also known as Tongyi Qianwen lab).
Qwen3-Next is an efficiency-focused large language model and model architecture released in September 2025 by the Qwen team at Alibaba Cloud.
Qwen3.8-Flash-Next is an experimental open-weight multimodal large language model released by Alibaba Group's Qwen team on August 26, 2026.
Recursive Flint is a text-only large language model developed by Recursive Superintelligence for coding agents and announced on October 21, 2026.
Reka Flash is a family of multimodal large language models developed by Reka AI, a San Francisco Bay Area research company founded in 2022 by former researchers from Google DeepMind, Meta FAIR, and Google.
Ring-1T is an open-weight reasoning model released in October 2025 by inclusionAI, the open-source research initiative associated with Ant Group
Sentence-transformers/all-MiniLM-L6-v2 model
sentence-transformers/all-mpnet-base-v2
Sesame CSM (Conversational Speech Model) is an open weights speech generation model from Sesame AI, a San Francisco startup co-founded by former Oculus chief executive Brendan Iribe.
SmolLM is a family of small, fully open language models released by Hugging Face on July 16, 2024 in three sizes, 135 million, 360 million, and 1.7 billion parameters, all trained on a curated open dataset…
SmolLM 2 is a family of compact open-weight language models released by Hugging Face on November 1, 2024.
SmolLM 3 is a fully open 3 billion parameter language model released by Hugging Face on July 8, 2025, trained on 11.2 trillion tokens and designed as a small, multilingual, long-context reasoner.
SmolVLA (Small Vision-Language-Action) is a compact, open-source vision-language-action model (VLA) for robotics developed by Hugging Face and released in June 2025.