tensor library for machine learning
Project homepage: https://github.com/ggml-org/ggml
Description
GGML is a Tensor library for machine learning. Features include:
- Low-level cross-platform implementation
- Integer quantization support
- Broad hardware support
- Automatic differentiation
- ADAM and L-BFGS optimizers
- No third-party dependencies
- Zero memory allocations during runtime
Package information
- Ports path
- devel/libggml
- Package architecture
- amd64
- Maintainer
- Kirill A. Korinsky <kirill@korins.ky>
- Categories
- devel
- Available flavors
- None listed
- Only for architectures
- aarch64, amd64, arm, i386, mips64, mips64el, powerpc, powerpc64, riscv64, sparc64, alpha, hppa
Ports list build and test dependencies as well as runtime dependencies. pkg_add selects those needed for installation.
Direct dependencies
Library
Build
Used by (2 dependency relationships)
Includes library, runtime, build and test dependencies.