Ubuntu
ggml package

ggml 0.9.5-3 source package in Ubuntu

Changelog

ggml (0.9.5-3) unstable; urgency=medium

  * CUDA: Adapt not-installed list to new library locations
  * Bump Standards-Version to 4.7.3
    - Drop Priority: optional, it's the dpkg default since trixie
  * Bump copyrights

 -- Christian Kastner <email address hidden>  Sun, 11 Jan 2026 16:46:07 +0100

Upload details

Uploaded by:
Debian Deep Learning Team
Uploaded to:
Sid
Original maintainer:
Debian Deep Learning Team
Architectures:
amd64 arm64 loong64 ppc64 ppc64el riscv64 s390x
Section:
misc
Urgency:
Medium Urgency

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Downloads

File Size SHA-256 Checksum
ggml_0.9.5-3.dsc 2.7 KiB 7c530326724e21785311e3e3f3f301ef3f283df3416f4331117a6bfc91eb57db
ggml_0.9.5.orig.tar.gz 2.3 MiB 3abc12a318eb91da55e7705ec957281214b3c00aa3f0cd00b939419fea0048e0
ggml_0.9.5-3.debian.tar.xz 14.7 KiB 87eaee44d356db3c814e3aa5d7eea49668483552713c2f6530bf5d2340110f0f

Available diffs

No changes file available.

Binary packages built by this source

libggml-dev: Tensor library for machine learning - development files

 ggml is a tensor library for machine learning with the following features:
 .
  * 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
 .
 On Debian, ggml is shipped as a package that depends on one of the CPU or
 GPU backends.
 .
 This package provides the development files.

libggml0: Tensor library for machine learning - libraries

 ggml is a tensor library for machine learning with the following features:
 .
  * 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
 .
 On Debian, ggml is shipped as a package that depends on one of the CPU or
 GPU backends.
 .
 This package provides the main libraries, and the CPU backend.

libggml0-backend-blas: Tensor library for machine learning - BLAS backend

 ggml is a tensor library for machine learning with the following features:
 .
  * 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
 .
 On Debian, ggml is shipped as a package that depends on one of the CPU or
 GPU backends.
 .
 This package provides the BLAS backend.

libggml0-backend-blas-dbgsym: debug symbols for libggml0-backend-blas
libggml0-backend-hip: Tensor library for machine learning - HIP backend

 ggml is a tensor library for machine learning with the following features:
 .
  * 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
 .
 On Debian, ggml is shipped as a package that depends on one of the CPU or
 GPU backends.
 .
 This package provides the HIP backend, for AMD GPUs.

libggml0-backend-hip-dbgsym: debug symbols for libggml0-backend-hip
libggml0-backend-vulkan: Tensor library for machine learning - Vulkan backend

 ggml is a tensor library for machine learning with the following features:
 .
  * 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
 .
 On Debian, ggml is shipped as a package that depends on one of the CPU or
 GPU backends.
 .
 This package provides the Vulkan backend.

libggml0-backend-vulkan-dbgsym: debug symbols for libggml0-backend-vulkan
libggml0-dbgsym: debug symbols for libggml0