ggml 0.9.6-3 source package in Ubuntu
Changelog
ggml (0.9.6-3) unstable; urgency=medium * Add another workaround for ROCm on trixie -- Christian Kastner <email address hidden> Sun, 08 Feb 2026 10:10:41 +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
See full publishing history Publishing
| Series | Published | Component | Section |
|---|
Downloads
| File | Size | SHA-256 Checksum |
|---|---|---|
| ggml_0.9.6-3.dsc | 2.7 KiB | 52af53f9ef931f28c530e06aa97828f7d76c3cecbb4714aaf257b3f70810d953 |
| ggml_0.9.6.orig.tar.gz | 2.4 MiB | c5a7c9d737c25bb080630f1285924ac006e1d909ebc3b2df946e72c6ae0bc222 |
| ggml_0.9.6-3.debian.tar.xz | 16.1 KiB | 203497b7d4ef9767835a1b7ff95779b665f48861bc998126965e227d64064df5 |
Available diffs
- diff from 0.9.6-2 to 0.9.6-3 (896 bytes)
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-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
