edgepedia

Model families and named models

525 articles

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TinyLlama

TinyLlama is an open-weight small language model of 1.1 billion parameters, trained on 3 trillion tokens in 2023 by a four-person team at the Singapore University of Technology and Design.

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Tongyi DeepResearch

Tongyi DeepResearch is an open-source agentic large language model from Alibaba's Tongyi Lab, released in September 2025 with 30.5 billion parameters and built for autonomous, long-horizon web research tasks.

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Tortoise TTS

Tortoise TTS is an open-source, multi-voice neural text-to-speech system created by James Betker and first published in 2022, known for realistic voice cloning but very slow generation.

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TRELLIS (structured 3D generation)

TRELLIS is a Microsoft Research method for generating 3D assets from a single image or text prompt, released in December 2024 and adopted into NVIDIA AI Blueprints in 2025.

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TripoSR

TripoSR is an open image-to-3D reconstruction model released by Stability AI and Tripo AI in March 2024, generating a textured 3D mesh from one image.

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Tsuzumi (model family)

Tsuzumi is a family of large language models for Japanese and English developed by NTT, announced in 2023 with lightweight versions that run on a CPU or a single GPU.

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Tulu (AI model family)

Tulu (Tülu) is a family of open instruction-following language models from the Allen Institute for AI, first released in 2023 with full training data and code.

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Tülu 3

Tülu 3 is a family of open post-trained language models from the Allen Institute for AI, released in November 2024 and built on Meta's Llama 3.1.

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Udio

Udio, also known as Udio.com or Udio AI, is an AI music creation platform launched in April 2024 that generates songs from text prompts and lyrics.

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UI-TARS

UI-TARS is a family of vision-language models from ByteDance's Seed team that acts as a GUI agent, taking screenshots and outputting keyboard and mouse actions.

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Uni-Mol

Uni-Mol is a family of 3D molecular representation learning models developed by DP Technology, first published at ICLR 2023. It handles property prediction, conformation generation, and protein-ligand binding pose prediction.

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UniSim

UniSim is a generative interactive real-world simulator, introduced at ICLR 2024, that takes an image and an action and produces video of the action's consequence, enabling robot training.

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Unsloth

Unsloth is an open-source fine-tuning and quantization toolkit for large language models, released in 2023 by Daniel and Michael Han and reported to train about 2x faster.

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Unsloth dynamic GGUF quants

Unsloth dynamic GGUF quants are offline, per-layer quantization recipes introduced by the Unsloth team in 2024 that assign different bit-widths to different tensors of open-weight models before GGUF export.

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V-JEPA 2

V-JEPA 2 is a self-supervised video world model released by Meta's FAIR lab in June 2025, which predicts how scenes evolve in embedding space rather than generating pixels.

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VALL-E

VALL-E is a neural codec language model for text-to-speech from Microsoft Research, published in January 2023, which clones a voice from a 3-second audio prompt.

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Veo

Veo is a family of text-to-video, image-to-video, and video-editing generative models developed by Google DeepMind, producing short clips with synchronized native audio since Veo 3 in May 2025.

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Veo 3

Veo 3 is a text-to-video and image-to-video generation model from Google DeepMind, unveiled at Google I/O in May 2025, that generates video with synchronized native audio from a prompt.

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VibeVoice

VibeVoice is an open-source text-to-speech model family from Microsoft, first released in August 2025, that generates long-form conversational audio such as podcasts with up to 4 speakers.

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Vicuna (AI model)

Vicuna is an open-weight chat model released on March 30, 2023 by fine-tuning Meta's LLaMA on user-shared ShareGPT conversations, with a claimed training cost of about $300.

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VideoWorld

VideoWorld is an auto-regressive video generation model introduced in January 2025 by ByteDance's Seed team with Chinese universities, learning rules, reasoning, and actions from unlabeled videos without language supervision.

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Vidu

Vidu is a family of proprietary text-to-video and image-to-video generative AI models developed by China's ShengShu Technology with Tsinghua University, unveiled in 2024 and known for reference-to-video generation.

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Voicebox

Voicebox is a text-guided speech generation model from Meta AI, announced in June 2023, that performs speech editing, denoising, and zero-shot text-to-speech without task-specific training.

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Voxtral

Voxtral is a family of open-weight speech-recognition and audio-understanding models developed by Mistral AI, first released in July 2025 under Apache 2.0, handling transcription, translation, and audio question answering.

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Voyage AI embeddings

Voyage AI embeddings are a family of text embedding models that map text into vectors for semantic search, with the Voyage 4 series released in January 2026 and the open-weight voyage-4-nano under Apache 2.0.

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Wan

Wan (Tongyi Wanxiang) is a family of video generation models from Alibaba's Tongyi Lab, first released as open weights under Apache 2.0 in February 2025.

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Wav2Vec 2.0

Wav2Vec 2.0 is a self-supervised speech representation model from Facebook AI Research, released in October 2020, which learns from raw audio without transcripts and reaches strong accuracy with only 10 minutes of labeled speech.

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WaveGlow

WaveGlow is a flow-based generative neural network, proposed by NVIDIA researchers in an October 2018 arXiv paper, that converts mel-spectrograms into speech audio as a text-to-speech vocoder.

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WaveGrad

WaveGrad is a diffusion-based generative model for raw audio waveform generation, introduced by Google Brain researchers in a September 2020 paper and published at ICLR 2021.

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WaveRNN

WaveRNN is a compact single-layer recurrent neural network introduced by Google in 2018 for text-to-speech audio synthesis, matching WaveNet quality and running faster than real time, even on mobile hardware.