[ sid ]
Kaynak Paket: ggml (0.9.8-2)
ggml için bağlantılar
Debian Kaynakları:
- Hata Raporları
- Developer Information
- Debian Değişim Günlüğü
- Telif Hakkı Dosyası
- Debian Kaynak Deposu (Git)
- Debian Yama Takipçisi
Geliştiriciler:
Dış Kaynaklar:
- Ana Sayfa [github.com]
Aşağıdaki ikili paketler bu kaynak paketten inşa edilmiştir:
- libggml-dev
- Tensor library for machine learning - development files
- libggml0
- Tensor library for machine learning - libraries
- libggml0-backend-blas
- Tensor library for machine learning - BLAS backend
- libggml0-backend-hip
- Tensor library for machine learning - HIP backend
- libggml0-backend-vulkan
- Tensor library for machine learning - Vulkan backend
ggml ile İlgili Diğer Paketler
|
|
-
- adep: cmake
- cross-platform, open-source make system
-
- adep: debhelper-compat (= 13)
- Paket mevcut değil
-
- adep: libblas-dev
- Basic Linear Algebra Subroutines 3, static library
-
- adep: pkgconf
- manage compile and link flags for libraries
-
- adep: libvulkan-dev
- Vulkan loader library -- development files
-
- adep: glslc
- Command line compiler for GLSL/HLSL to SPIR-V
-
- adep: pkg-rocm-tools (>= 0.9.1~)
- Utilities for adding ROCm support to packages
-
- adep: libamdhip64-dev (>= 5.7.1-6+deb13u1) [amd64 arm64]
- HIP runtime for AMD GPUs - headers
-
- adep: hipcc (>= 7.0.2+dfsg-2) [amd64 arm64]
- C++ Runtime API and Kernel Language for AMD and NVIDIA GPUs
-
- adep: libhipblas-dev [amd64 arm64]
- portable interface for GPU BLAS - headers
-
- adep: librocblas-dev [amd64 arm64]
- ROCm library for basic linear algebra - headers
Download ggml
| Dosya | Boyut (kB cinsinden) | MD5 sağlama toplamı |
|---|---|---|
| ggml_0.9.8-2.dsc | 2,9 kB | 6d5331b33d8cdd454767b60c67afbe11 |
| ggml_0.9.8.orig.tar.gz | 2.684,4 kB | cb12ae293c4bf4b3d6f9b0d8bdb49c75 |
| ggml_0.9.8-2.debian.tar.xz | 22,0 kB | 36b423c7f3b25871ba68581a90f864f5 |
- Debian Paket Kaynak Deposu (VCS: Git)
- https://salsa.debian.org/deeplearning-team/ggml.git
- Debian Paket Kaynak Deposu (Gezinilebilir)
- https://salsa.debian.org/deeplearning-team/ggml
