#Apache 2.0 license

Vespa is a high-performance platform for real-time data processing, ideal for search and personalization tasks. It manages large, distributed datasets and supports both cloud and standalone deployments. Developers can easily extend its capabilities using Java and benefit from extensive documentation and community support. Continuously updated from its source, Vespa is open-source under the Apache 2.0 license, promoting collaboration.

Explore open-source code and datasets offered by Google Research, licensed under CC BY 4.0 and Apache 2.0. These resources are valuable for developers and researchers seeking innovative solutions. Access specific subdirectories with GitHub, enabling easy downloads and contributions via shallow clone and pull requests. This repository is not an official Google product.

Spring Data Build offers vital infrastructure for Maven-based modules within Spring Data. It simplifies setting up single or multi-module projects by managing shared resources, dependencies, and generating documentation. The project aligns with the Spring Code of Conduct and suits CI/CD workflows. Preconfigured with logging and testing tools, it supports performance optimization, nightly builds, and documentation deployment under the Apache 2.0 license.

This repository offers JAX example code to run the Grok-1 model, characterized by its Mixture of 8 Experts architecture and 314 billion parameters. The process requires significant GPU memory and involves 64 layers and 48 attention heads. The SentencePiece tokenizer encompasses 131,072 tokens with features like rotary embeddings, activation sharding, and 8-bit quantization for sequences up to 8,192 tokens. Weights can be downloaded through a magnet link or the HuggingFace Hub under the Apache 2.0 license.