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AI Models

Explore AI models, their documented capabilities, access methods and deployment requirements. Compare official resources, requirements and limitations.

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AI Models projects

B Bitnet Bitnet is a Python and PyTorch implementation of BitNet's 1-bit Transformer linear methods and model. It provides BitLinear quantized layers, Transformer components and example inference and Hugging Face workflows.

N NanoNeuron An MIT-licensed JavaScript educational implementation of a simplified neural-network neuron. It uses seven functions to demonstrate prediction, cost calculation, propagation and training.

M Minimind O An open-source, 0.1B-scale multimodal omni-model project trained from scratch, with code, data, weights and documentation for listening, seeing and speaking.

D DREAMERV3 DREAMERV3 is a Python and JAX reinforcement-learning implementation that learns a world model from experience and trains an actor-critic policy using imagined trajectories.

V Vit Pytorch An open-source Python/PyTorch library implementing Vision Transformer variants for computer vision and image classification.

M Minimind A public Python repository for training a 64M-parameter large language model from scratch. It is licensed under Apache-2.0.

T Transformers An open-source Python framework in the Hugging Face ecosystem that centralizes definitions for pretrained machine-learning models across text, computer vision, audio, video and multimodal tasks. It supports inference and training.