AI & Machine Learning Files

A sample ONNX (Open Neural Network Exchange) model file for testing cross-framework ML inference with PyTorch, TensorFlow, and ONNX Runtime.

A sample PyTorch .pt model checkpoint file with weights and architecture for testing model loading and inference pipelines.

A sample HDF5 Keras model file with layers, weights, and optimizer state for testing TensorFlow Serving and model conversion.

A sample TFLite model optimized for mobile and edge inference on Android, iOS, Raspberry Pi, and microcontrollers.

A sample Safetensors model file, the secure and fast format for storing ML model weights used by Hugging Face Transformers.

A sample GGUF quantized LLM model file for testing llama.cpp, Ollama, and local large language model inference.

A sample Python pickle file containing a trained scikit-learn model for testing ML model serialization and deployment.

A sample PMML (Predictive Model Markup Language) XML file for testing cross-platform ML model exchange and scoring engines.

A sample Apple Core ML model file for testing on-device machine learning inference on iOS, macOS, and Apple Silicon.

A sample Joblib serialized ML model file, the preferred format for scikit-learn model persistence and parallel computing.

A sample GGML quantized model binary for testing llama.cpp, whisper.cpp, and CPU-based LLM inference engines.

A sample Apple Core ML model package for testing on-device ML inference on iOS, macOS, and Apple Silicon hardware.

A sample SafeTensors model file for testing Hugging Face model loading and safe tensor serialization.

A sample GGUF quantized LLM model file for testing llama.cpp, Ollama, and local AI inference engines.

A sample PMML Predictive Model Markup Language file for testing cross-platform ML model deployment.

A sample ONNX neural network model for testing cross-framework ML inference and model conversion.

A sample TFLite model for testing mobile and edge ML inference on Android and IoT devices.

A sample Apple Core ML model for testing on-device ML inference on iOS and macOS applications.

A sample SafeTensors model file for testing Hugging Face's safe model serialization format.

A sample GGUF quantized model for testing llama.cpp local LLM inference.

A sample PyTorch serialized model for testing deep learning model loading and inference.

A sample Keras v3 model file for testing TensorFlow/JAX model portability.