Open Source
Hugging Face Introduces Skops for scikit-learn Models
Hugging Face Bloghigh confidence
Why it matters
- →Skops enhances the reproducibility and sharing of scikit-learn models on the Hugging Face Hub.
- →It simplifies the creation of model cards, improving documentation and collaboration.
- →This tool supports better model discoverability and usability through detailed configuration and metadata.
Hugging Face has introduced Skops, a library aimed at facilitating the hosting of scikit-learn models on their Hub. Skops allows users to serialize models, create comprehensive model cards, and push them to the Hub for public or private access. This initiative enhances model documentation and collaboration, making it easier for developers to share and reproduce machine learning models. The library supports model serialization with joblib and includes features for generating configuration files and model cards, which are crucial for model discoverability and usability.
Read originalMore in Open Source
Open Sourcemodels
llama.cpp b10952 Release Expands Platform Support
The b10952 release of llama.cpp continues its trend of broadening platform compatibility, now supporting a wide array of systems including macOS, Linux, Windows, and openEuler. Notably, this update includes support for Vulkan and ROCm 10.0 on Ubuntu, as well as CUDA 12 and 13 on Windows, enhancing its utility for developers working across diverse hardware configurations. While KleidiAI support on macOS Apple Silicon is disabled, the release still marks a significant step in making llama.cpp a versatile tool for AI inference across different environments. This update doesn't introduce new models but solidifies llama.cpp's position as a flexible runtime option for developers beyond the NVIDIA ecosystem.
llama.cpp Releases
Open Sourcemodels
llama.cpp b10964 release expands platform support
The b10964 release of llama.cpp marks a significant expansion in platform support, particularly for Windows and Ubuntu users. With the addition of CUDA 13.4 DLLs for Windows arm64 and Vulkan support for Ubuntu, this update broadens the accessibility of llama.cpp across diverse hardware configurations. Notably, the inclusion of ROCm 10.0 for both Windows and Ubuntu x64 platforms enhances the performance capabilities for AMD GPU users. This release doesn't introduce new models but focuses on making llama.cpp a more versatile and inclusive tool for developers across different systems.