Package: argeo-freed-cms Architecture: all Version: 2.3.9 Priority: optional Section: admin Source: argeo-freed Maintainer: Mathieu Baudier Installed-Size: 44 Depends: init-system-helpers (>= 1.52), adduser, argeo-cms Conflicts: argeo-init Filename: ./pool/noble/os/2.3/argeo-freed-cms_2.3.9_all.deb Size: 5096 SHA256: 9254482c2d6b48fa813a4a5802c3519eb632c58b55591104158209a30f84df09 Description: FREEd Argeo CMS services Argeo CMS services Package: argeo-freed-libreswan Architecture: all Version: 2.3.9 Priority: optional Section: admin Source: argeo-freed Maintainer: Mathieu Baudier Installed-Size: 37 Depends: libreswan Filename: ./pool/noble/os/2.3/argeo-freed-libreswan_2.3.9_all.deb Size: 9022 SHA256: 9d28eb165d5c4bd6ad0f3c6d2fc5ae38cbac86a1a1facce07fe5fe795869727c Description: FREEd extensions to libreswan Extensions to libreswan Package: argeo-freed-roaming-client Architecture: all Version: 2.3.9 Priority: optional Section: admin Source: argeo-freed Maintainer: Mathieu Baudier Installed-Size: 19 Depends: argeo-freed-libreswan Filename: ./pool/noble/os/2.3/argeo-freed-roaming-client_2.3.9_all.deb Size: 2778 SHA256: d17b71607991905019fa6184dc8dcee5ffc5bdacdd4a1474d1a0a7916705ed3f Description: FREEd roaming client Roaming client Package: argeo-freed-sysj Architecture: all Version: 2.3.9 Priority: optional Section: admin Source: argeo-freed Maintainer: Mathieu Baudier Installed-Size: 17 Depends: argeo-freed-cms Filename: ./pool/noble/os/2.3/argeo-freed-sysj_2.3.9_all.deb Size: 3130 SHA256: 60af5f5971eba99b40099539492d6d689c5ded4c30a3799bf937210d8cc9e40a Description: FREEd system init Argeo system init Package: libggml-backend-cpu-dbgsym Package-Type: ddeb Architecture: arm64 Version: 0.9.4.185-1 Auto-Built-Package: debug-symbols Multi-Arch: same Priority: optional Section: debug Source: ggml Maintainer: Mathieu Baudier Installed-Size: 938 Depends: libggml-backend-cpu (= 0.9.4.185-1) Filename: ./pool/noble/os/2.3/libggml-backend-cpu-dbgsym_0.9.4.185-1_arm64.ddeb Size: 861814 SHA256: 22ac1e33ba15acd84ff3bd33a019b1287915221ac9c4c5576d4226e8fa80db88 Description: debug symbols for libggml-backend-cpu Build-Ids: 8f9c507f29fd97c8d9d8f25de70145d7d05981f0 Package: libggml-backend-cpu-dbgsym Package-Type: ddeb Architecture: arm64 Version: 0.9.4.58-1 Auto-Built-Package: debug-symbols Multi-Arch: same Priority: optional Section: debug Source: ggml Maintainer: Mathieu Baudier Installed-Size: 891 Depends: libggml-backend-cpu (= 0.9.4.58-1) Filename: ./pool/noble/os/2.3/libggml-backend-cpu-dbgsym_0.9.4.58-1_arm64.ddeb Size: 816128 SHA256: 49d1be6658d7e556aea6cd3783073d813d6f8fdc8b5ab524907ceaa8629e9f0b Description: debug symbols for libggml-backend-cpu Build-Ids: a9bde7b336327f211c7fd277944e1d54f1027c20 Package: libggml-backend-cpu Architecture: arm64 Version: 0.9.4.185-1 Multi-Arch: same Priority: optional Section: libs Source: ggml Maintainer: Mathieu Baudier Installed-Size: 593 Depends: libggml-base0 (= 0.9.4.185-1), libc6 (>= 2.34), libgcc-s1 (>= 3.3.1), libgomp1 (>= 4.9), libstdc++6 (>= 11) Filename: ./pool/noble/os/2.3/libggml-backend-cpu_0.9.4.185-1_arm64.deb Size: 230010 SHA256: 1908fd4cd5c6d65f50f682668ca6fd5c4cf19b23eb454b518e3d718b4ca92808 Homepage: https://github.com/ggml-org/ggml Description: Tensor library for machine learning (CPU backend) The ggml CPU backend provides computations based solely on plain CPU, without software or hardware acceleration. It is available as a set of dynamically loaded libraries optimized for various CPU families, depending on their specific capabilities. The ggml library will automatically select the most appropriate one, allowing one to run computations on older CPU while still benefiting from the capabilities of recent ones. Package: libggml-backend-cpu Architecture: arm64 Version: 0.9.4.58-1 Multi-Arch: same Priority: optional Section: libs Source: ggml Maintainer: Mathieu Baudier Installed-Size: 592 Depends: libggml-base0 (= 0.9.4.58-1), libc6 (>= 2.34), libgcc-s1 (>= 3.3.1), libgomp1 (>= 4.9), libstdc++6 (>= 11) Filename: ./pool/noble/os/2.3/libggml-backend-cpu_0.9.4.58-1_arm64.deb Size: 227986 SHA256: 628a1530c255f93d22437246986c4ba78083816bb7b2e8d328c140beb7cdaa12 Homepage: https://github.com/ggml-org/ggml Description: Tensor library for machine learning (CPU backend) The ggml CPU backend provides computations based solely on plain CPU, without software or hardware acceleration. It is available as a set of dynamically loaded libraries optimized for various CPU families, depending on their specific capabilities. The ggml library will automatically select the most appropriate one, allowing one to run computations on older CPU while still benefiting from the capabilities of recent ones. Package: libggml-backend-rpc-dbgsym Package-Type: ddeb Architecture: arm64 Version: 0.9.4.185-1 Auto-Built-Package: debug-symbols Multi-Arch: same Priority: optional Section: debug Source: ggml Maintainer: Mathieu Baudier Installed-Size: 472 Depends: libggml-backend-rpc (= 0.9.4.185-1) Filename: ./pool/noble/os/2.3/libggml-backend-rpc-dbgsym_0.9.4.185-1_arm64.ddeb Size: 438688 SHA256: 5eb34522cb0e2eb4e78cd15483d556ad16d828a60a091bdfbb6940d57555f868 Description: debug symbols for libggml-backend-rpc Build-Ids: a9e078c241e313cf9f5cdbd4b5bb5309d9c4feba Package: libggml-backend-rpc-dbgsym Package-Type: ddeb Architecture: arm64 Version: 0.9.4.58-1 Auto-Built-Package: debug-symbols Multi-Arch: same Priority: optional Section: debug Source: ggml Maintainer: Mathieu Baudier Installed-Size: 480 Depends: libggml-backend-rpc (= 0.9.4.58-1) Filename: ./pool/noble/os/2.3/libggml-backend-rpc-dbgsym_0.9.4.58-1_arm64.ddeb Size: 447300 SHA256: 01337de97cc2ff961cc4510fec5f26933c5132b68c61db795e181cfa53d309d5 Description: debug symbols for libggml-backend-rpc Build-Ids: 69448cb86c5e59d1b3873af343e78aa0e4a28008 Package: libggml-backend-rpc Architecture: arm64 Version: 0.9.4.185-1 Multi-Arch: same Priority: optional Section: libs Source: ggml Maintainer: Mathieu Baudier Installed-Size: 145 Depends: libggml-base0 (= 0.9.4.185-1), libc6 (>= 2.38), libgcc-s1 (>= 3.3.1), libstdc++6 (>= 11) Filename: ./pool/noble/os/2.3/libggml-backend-rpc_0.9.4.185-1_arm64.deb Size: 37830 SHA256: 9e17e19c50bf07c1152e014651b9b5a0591ead08dc7dfa431bf0c12fb8623e15 Homepage: https://github.com/ggml-org/ggml Description: Tensor library for machine learning (RPC backend) The ggml RPC backend allows one to distribute computations over the network on remote ggml backends. Package: libggml-backend-rpc Architecture: arm64 Version: 0.9.4.58-1 Multi-Arch: same Priority: optional Section: libs Source: ggml Maintainer: Mathieu Baudier Installed-Size: 144 Depends: libggml-base0 (= 0.9.4.58-1), libc6 (>= 2.38), libgcc-s1 (>= 3.3.1), libstdc++6 (>= 11) Filename: ./pool/noble/os/2.3/libggml-backend-rpc_0.9.4.58-1_arm64.deb Size: 37900 SHA256: 41a08b52eb036af11704bf3769f79b0fcf23b2e9b6f18f8c0e2fd9e3252875d6 Homepage: https://github.com/ggml-org/ggml Description: Tensor library for machine learning (RPC backend) The ggml RPC backend allows one to distribute computations over the network on remote ggml backends. Package: libggml-backend-vulkan-dbgsym Package-Type: ddeb Architecture: arm64 Version: 0.9.4.185-1 Auto-Built-Package: debug-symbols Multi-Arch: same Priority: optional Section: debug Source: ggml Maintainer: Mathieu Baudier Installed-Size: 3669 Depends: libggml-backend-vulkan (= 0.9.4.185-1) Filename: ./pool/noble/os/2.3/libggml-backend-vulkan-dbgsym_0.9.4.185-1_arm64.ddeb Size: 3199946 SHA256: 78b392dc844e35a075b721dd4577180150d3dea4b00b5f25b71099eb951ef9c7 Description: debug symbols for libggml-backend-vulkan Build-Ids: f1b10bf556aab8a545783bef7868345cf1609428 Package: libggml-backend-vulkan-dbgsym Package-Type: ddeb Architecture: arm64 Version: 0.9.4.58-1 Auto-Built-Package: debug-symbols Multi-Arch: same Priority: optional Section: debug Source: ggml Maintainer: Mathieu Baudier Installed-Size: 3515 Depends: libggml-backend-vulkan (= 0.9.4.58-1) Filename: ./pool/noble/os/2.3/libggml-backend-vulkan-dbgsym_0.9.4.58-1_arm64.ddeb Size: 3053760 SHA256: 0fa05ba2c1345184e4826e433f1f5ef7bfb90f3b4fb2e093ec907c680fe4bfe5 Description: debug symbols for libggml-backend-vulkan Build-Ids: 4c57ea7bc795be382c57575253a72e6b40267455 Package: libggml-backend-vulkan Architecture: arm64 Version: 0.9.4.185-1 Multi-Arch: same Priority: optional Section: libs Source: ggml Maintainer: Mathieu Baudier Installed-Size: 38418 Depends: libggml-base0 (= 0.9.4.185-1), libc6 (>= 2.38), libgcc-s1 (>= 3.3.1), libstdc++6 (>= 13.1), libvulkan1 (>= 1.2.131.2) Filename: ./pool/noble/os/2.3/libggml-backend-vulkan_0.9.4.185-1_arm64.deb Size: 4508276 SHA256: ad87033671c9bdbc9a81bd555d6f252cdb6bc17dd52d55a03ba423b6de27c25f Homepage: https://github.com/ggml-org/ggml Description: Tensor library for machine learning (Vulkan backend) The ggml Vulkan backend provides hardware acceleration of the computations based on the Vulkan API. This is typically used to leverage GPU parallel computations capabilities. Package: libggml-backend-vulkan Architecture: arm64 Version: 0.9.4.58-1 Multi-Arch: same Priority: optional Section: libs Source: ggml Maintainer: Mathieu Baudier Installed-Size: 38033 Depends: libggml-base0 (= 0.9.4.58-1), libc6 (>= 2.38), libgcc-s1 (>= 3.3.1), libstdc++6 (>= 13.1), libvulkan1 (>= 1.2.131.2) Filename: ./pool/noble/os/2.3/libggml-backend-vulkan_0.9.4.58-1_arm64.deb Size: 4457770 SHA256: 2e779e20350721eb490c8bb641d31b22987faa832067a698b45d81a824a3c385 Homepage: https://github.com/ggml-org/ggml Description: Tensor library for machine learning (Vulkan backend) The ggml Vulkan backend provides hardware acceleration of the computations based on the Vulkan API. This is typically used to leverage GPU parallel computations capabilities. Package: libggml-base0-dbgsym Package-Type: ddeb Architecture: arm64 Version: 0.9.4.185-1 Auto-Built-Package: debug-symbols Multi-Arch: same Priority: optional Section: debug Source: ggml Maintainer: Mathieu Baudier Installed-Size: 1276 Depends: libggml-base0 (= 0.9.4.185-1) Filename: ./pool/noble/os/2.3/libggml-base0-dbgsym_0.9.4.185-1_arm64.ddeb Size: 1195346 SHA256: cf10e18c6a1ba7181cdea544e30093ad78a961c29f433388089f1aa67b285e67 Description: debug symbols for libggml-base0 Build-Ids: 07d9b73e61d4a9d40ccdc0ce0efb6a6e3ad908c6 Package: libggml-base0-dbgsym Package-Type: ddeb Architecture: arm64 Version: 0.9.4.58-1 Auto-Built-Package: debug-symbols Multi-Arch: same Priority: optional Section: debug Source: ggml Maintainer: Mathieu Baudier Installed-Size: 1271 Depends: libggml-base0 (= 0.9.4.58-1) Filename: ./pool/noble/os/2.3/libggml-base0-dbgsym_0.9.4.58-1_arm64.ddeb Size: 1191178 SHA256: 396d4c869d76afa8ae04af18fecf03d153a21a65ada786ba5b684c7e92d7e67d Description: debug symbols for libggml-base0 Build-Ids: d51867622204a4216400d05445729101351f4d9a Package: libggml-base0 Architecture: arm64 Version: 0.9.4.185-1 Multi-Arch: same Priority: optional Section: libs Source: ggml Maintainer: Mathieu Baudier Installed-Size: 597 Depends: libc6 (>= 2.38), libgcc-s1 (>= 3.3.1), libstdc++6 (>= 11) Filename: ./pool/noble/os/2.3/libggml-base0_0.9.4.185-1_arm64.deb Size: 224584 SHA256: 04af58aa4e29b8dca6a8027a8ce0319998b0b7462e1dd491a2326349e7b98596 Homepage: https://github.com/ggml-org/ggml Description: Tensor library for machine learning (base) The ggml base library provides the backend-independent API upon which specialized libraries or applications can be built. Package: libggml-base0 Architecture: arm64 Version: 0.9.4.58-1 Multi-Arch: same Priority: optional Section: libs Source: ggml Maintainer: Mathieu Baudier Installed-Size: 597 Depends: libc6 (>= 2.38), libgcc-s1 (>= 3.3.1), libstdc++6 (>= 11) Filename: ./pool/noble/os/2.3/libggml-base0_0.9.4.58-1_arm64.deb Size: 222992 SHA256: c225fa4df67debdaeeb45e8804ffe1b970ace6334095457cae4b3cc5b650fbbd Homepage: https://github.com/ggml-org/ggml Description: Tensor library for machine learning (base) The ggml base library provides the backend-independent API upon which specialized libraries or applications can be built. Package: libggml-dev Architecture: arm64 Version: 0.9.4.185-1 Multi-Arch: same Priority: optional Section: libdevel Source: ggml Maintainer: Mathieu Baudier Installed-Size: 2247 Depends: libggml0 (= 0.9.4.185-1), libggml-base0 (= 0.9.4.185-1) Filename: ./pool/noble/os/2.3/libggml-dev_0.9.4.185-1_arm64.deb Size: 515654 SHA256: 43f48f1f2b05f71be48160bccb65e6221d836190511449a41f4a47ca23fb4883 Homepage: https://github.com/ggml-org/ggml Description: Tensor library for machine learning (development files) This developments package provides the files required to build software based on ggml. Package: libggml-dev Architecture: arm64 Version: 0.9.4.58-1 Multi-Arch: same Priority: optional Section: libdevel Source: ggml Maintainer: Mathieu Baudier Installed-Size: 2247 Depends: libggml0 (= 0.9.4.58-1), libggml-base0 (= 0.9.4.58-1) Filename: ./pool/noble/os/2.3/libggml-dev_0.9.4.58-1_arm64.deb Size: 515512 SHA256: 7dd368b5d79a4fb3460c141d436c01105fab4981492d35e9335f18dda6768ffa Homepage: https://github.com/ggml-org/ggml Description: Tensor library for machine learning (development files) This developments package provides the files required to build software based on ggml. Package: libggml0-dbgsym Package-Type: ddeb Architecture: arm64 Version: 0.9.4.185-1 Auto-Built-Package: debug-symbols Multi-Arch: same Priority: optional Section: debug Source: ggml Maintainer: Mathieu Baudier Installed-Size: 209 Depends: libggml0 (= 0.9.4.185-1) Filename: ./pool/noble/os/2.3/libggml0-dbgsym_0.9.4.185-1_arm64.ddeb Size: 190488 SHA256: 6f0fd756d1ab9a10c89d1060708ab0cfae235cb8a4d3306e3f87e97879139348 Description: debug symbols for libggml0 Build-Ids: 76ead8ab006e7f52b2cb2b6819e7e34cc4a15c08 Package: libggml0-dbgsym Package-Type: ddeb Architecture: arm64 Version: 0.9.4.58-1 Auto-Built-Package: debug-symbols Multi-Arch: same Priority: optional Section: debug Source: ggml Maintainer: Mathieu Baudier Installed-Size: 208 Depends: libggml0 (= 0.9.4.58-1) Filename: ./pool/noble/os/2.3/libggml0-dbgsym_0.9.4.58-1_arm64.ddeb Size: 189640 SHA256: 0b36e99166d68ba126a75fb8a09656389c6c61f94e6126bf6478d080bbb4979d Description: debug symbols for libggml0 Build-Ids: ce8840461bcfe6e0de037d9ac13d52713ccf8bb7 Package: libggml0 Architecture: arm64 Version: 0.9.4.185-1 Multi-Arch: same Priority: optional Section: libs Source: ggml Maintainer: Mathieu Baudier Installed-Size: 84 Depends: libggml-base0 (= 0.9.4.185-1), libc6 (>= 2.34), libgcc-s1 (>= 3.3.1), libstdc++6 (>= 9) Filename: ./pool/noble/os/2.3/libggml0_0.9.4.185-1_arm64.deb Size: 16272 SHA256: d970e43cbe9c33de2861684e42929e8f88b873459c6d354dc4a2f7cd79218112 Homepage: https://github.com/ggml-org/ggml Description: Tensor library for machine learning (loader) The ggml library is a thin high-level layer mostly responsible for loading the various ggml backends, and connect them to the API provided by the ggml base library. Package: libggml0 Architecture: arm64 Version: 0.9.4.58-1 Multi-Arch: same Priority: optional Section: libs Source: ggml Maintainer: Mathieu Baudier Installed-Size: 84 Depends: libggml-base0 (= 0.9.4.58-1), libc6 (>= 2.34), libgcc-s1 (>= 3.3.1), libstdc++6 (>= 9) Filename: ./pool/noble/os/2.3/libggml0_0.9.4.58-1_arm64.deb Size: 16102 SHA256: b1da993e2863f7f8e17b637283fe73f9aac46ee855daf287949e1e4eb307457f Homepage: https://github.com/ggml-org/ggml Description: Tensor library for machine learning (loader) The ggml library is a thin high-level layer mostly responsible for loading the various ggml backends, and connect them to the API provided by the ggml base library. Package: libllama-dev Architecture: arm64 Version: 0.0.6764-1 Multi-Arch: same Priority: optional Section: libdevel Source: llama.cpp Maintainer: Mathieu Baudier Installed-Size: 96 Depends: libllama0 (= 0.0.6764-1), libggml-dev Filename: ./pool/noble/os/2.3/libllama-dev_0.0.6764-1_arm64.deb Size: 19708 SHA256: 2b395916cc6a4b82c041f0dd6fc9bc279eb2aca2df6f79c24d203e43db392a86 Homepage: https://github.com/ggml-org/llama.cpp/ Description: Inference of large language models in pure C/C++ (development files) Development files required for building software based on the stable and documented llama.cpp API. Package: libllama-dev Architecture: arm64 Version: 0.0.7011-1 Multi-Arch: same Priority: optional Section: libdevel Source: llama.cpp Maintainer: Mathieu Baudier Installed-Size: 97 Depends: libllama0 (= 0.0.7011-1), libggml-dev Filename: ./pool/noble/os/2.3/libllama-dev_0.0.7011-1_arm64.deb Size: 19798 SHA256: d9264ee161c7f0e768ff1656efbb8a748489b0796b225750b22d466be6d20eaf Homepage: https://github.com/ggml-org/llama.cpp/ Description: Inference of large language models in pure C/C++ (development files) Development files required for building software based on the stable and documented llama.cpp API. Package: libllama0-dbgsym Package-Type: ddeb Architecture: arm64 Version: 0.0.6764-1 Auto-Built-Package: debug-symbols Multi-Arch: same Priority: optional Section: debug Source: llama.cpp Maintainer: Mathieu Baudier Installed-Size: 8898 Depends: libllama0 (= 0.0.6764-1) Filename: ./pool/noble/os/2.3/libllama0-dbgsym_0.0.6764-1_arm64.ddeb Size: 8361634 SHA256: 0bfb34a7e1e29d4d194d0ec04b3cf5a5951217203c9887f1ea23f997060cc4bb Description: debug symbols for libllama0 Build-Ids: 512195c695b15eb1ec583d2aed9a277101186e7a Package: libllama0-dbgsym Package-Type: ddeb Architecture: arm64 Version: 0.0.7011-1 Auto-Built-Package: debug-symbols Multi-Arch: same Priority: optional Section: debug Source: llama.cpp Maintainer: Mathieu Baudier Installed-Size: 9347 Depends: libllama0 (= 0.0.7011-1) Filename: ./pool/noble/os/2.3/libllama0-dbgsym_0.0.7011-1_arm64.ddeb Size: 8712090 SHA256: 054941e8bf75d2453d81be2a57706b3bbbeb0bdee254cec2092dba3bb123cc9b Description: debug symbols for libllama0 Build-Ids: a80f5547eb32733b1c6ec59466b52ce2b7088e97 Package: libllama0 Architecture: arm64 Version: 0.0.6764-1 Multi-Arch: same Priority: optional Section: libs Source: llama.cpp Maintainer: Mathieu Baudier Installed-Size: 1879 Depends: libggml0 (>= 0.9.4.58), libggml-backend-cpu, libc6 (>= 2.38), libgcc-s1 (>= 3.3.1), libggml-base0 (>= 0.9.4.58), libstdc++6 (>= 11) Conflicts: llama.cpp Filename: ./pool/noble/os/2.3/libllama0_0.0.6764-1_arm64.deb Size: 649318 SHA256: 611216c1b0528d185e7b604b94bbf3e3f28581519a653ebd2014ae59e23966d7 Homepage: https://github.com/ggml-org/llama.cpp/ Description: Inference of large language models in pure C/C++ (shared library) llama.cpp leverages the ggml tensor library in order to run large language models (LLMs) provided in the GGUF file format. Package: libllama0 Architecture: arm64 Version: 0.0.7011-1 Multi-Arch: same Priority: optional Section: libs Source: llama.cpp Maintainer: Mathieu Baudier Installed-Size: 2007 Depends: libggml0 (>= 0.9.4.185), libggml-backend-cpu, libc6 (>= 2.38), libgcc-s1 (>= 3.3.1), libggml-base0 (>= 0.9.4.185), libstdc++6 (>= 11) Conflicts: llama.cpp Filename: ./pool/noble/os/2.3/libllama0_0.0.7011-1_arm64.deb Size: 658830 SHA256: 21adce2898ad839ad21f6e357780db78187ed76c4f18d78eba251b01057174b2 Homepage: https://github.com/ggml-org/llama.cpp/ Description: Inference of large language models in pure C/C++ (shared library) llama.cpp leverages the ggml tensor library in order to run large language models (LLMs) provided in the GGUF file format. Package: libmtmd-dev Architecture: arm64 Version: 0.0.6764-1 Multi-Arch: same Priority: optional Section: libdevel Source: llama.cpp Maintainer: Mathieu Baudier Installed-Size: 29 Depends: libmtmd0 (= 0.0.6764-1), libllama-dev (= 0.0.6764-1) Filename: ./pool/noble/os/2.3/libmtmd-dev_0.0.6764-1_arm64.deb Size: 6412 SHA256: 35c8703c190dadec15ef2572843ed645c4ccd489a7b871118a34e1f93ce26903 Homepage: https://github.com/ggml-org/llama.cpp/ Description: Inference of large language models in pure C/C++ (multimodal development files) Development files required for building software based on the multimodal llama.cpp API. Package: libmtmd-dev Architecture: arm64 Version: 0.0.7011-1 Multi-Arch: same Priority: optional Section: libdevel Source: llama.cpp Maintainer: Mathieu Baudier Installed-Size: 30 Depends: libmtmd0 (= 0.0.7011-1), libllama-dev (= 0.0.7011-1) Filename: ./pool/noble/os/2.3/libmtmd-dev_0.0.7011-1_arm64.deb Size: 6546 SHA256: cb6cf34664009571c5a205a8bc9b67b8f04ac585e3df65aa36309b37a92f7171 Homepage: https://github.com/ggml-org/llama.cpp/ Description: Inference of large language models in pure C/C++ (multimodal development files) Development files required for building software based on the multimodal llama.cpp API. Package: libmtmd0-dbgsym Package-Type: ddeb Architecture: arm64 Version: 0.0.6764-1 Auto-Built-Package: debug-symbols Multi-Arch: same Priority: optional Section: debug Source: llama.cpp Maintainer: Mathieu Baudier Installed-Size: 1889 Depends: libmtmd0 (= 0.0.6764-1) Filename: ./pool/noble/os/2.3/libmtmd0-dbgsym_0.0.6764-1_arm64.ddeb Size: 1801394 SHA256: ba5a1c6a1443537f7348601192f8392b04753c81efb010a134bc125ad3da6336 Description: debug symbols for libmtmd0 Build-Ids: dd84c34eff215ff7b535063b62b49b3f90820b22 Package: libmtmd0-dbgsym Package-Type: ddeb Architecture: arm64 Version: 0.0.7011-1 Auto-Built-Package: debug-symbols Multi-Arch: same Priority: optional Section: debug Source: llama.cpp Maintainer: Mathieu Baudier Installed-Size: 1887 Depends: libmtmd0 (= 0.0.7011-1) Filename: ./pool/noble/os/2.3/libmtmd0-dbgsym_0.0.7011-1_arm64.ddeb Size: 1795184 SHA256: 5e4cd416a73c7a7e3b732c50e2bd00bf449a60f1e0ab673de4b3e8c7b25010e4 Description: debug symbols for libmtmd0 Build-Ids: 01c9345b6450d74c358d243b43992325f1cb7c87 Package: libmtmd0 Architecture: arm64 Version: 0.0.6764-1 Multi-Arch: same Priority: optional Section: libs Source: llama.cpp Maintainer: Mathieu Baudier Installed-Size: 722 Depends: libllama0 (>= 0.0.6764), libc6 (>= 2.38), libgcc-s1 (>= 3.3.1), libggml-base0 (>= 0.9.4.58), libggml0 (>= 0.9.4.58), libstdc++6 (>= 11) Conflicts: llama.cpp Filename: ./pool/noble/os/2.3/libmtmd0_0.0.6764-1_arm64.deb Size: 312876 SHA256: 0bd59ec39fc736c4164c2b238de4c855cf5aeee192de2a24347d236eea4b1b07 Homepage: https://github.com/ggml-org/llama.cpp/ Description: Inference of large language models in pure C/C++ (multimodal library) mtmd provides multimodal inference. Package: libmtmd0 Architecture: arm64 Version: 0.0.7011-1 Multi-Arch: same Priority: optional Section: libs Source: llama.cpp Maintainer: Mathieu Baudier Installed-Size: 722 Depends: libllama0 (>= 0.0.7011), libc6 (>= 2.38), libgcc-s1 (>= 3.3.1), libggml-base0 (>= 0.9.4.185), libggml0 (>= 0.9.4.185), libstdc++6 (>= 11) Conflicts: llama.cpp Filename: ./pool/noble/os/2.3/libmtmd0_0.0.7011-1_arm64.deb Size: 317626 SHA256: f1298adae3b4c3fdee4c64e3cb7ab273269ba44922875b23147a0a94fbae7e0a Homepage: https://github.com/ggml-org/llama.cpp/ Description: Inference of large language models in pure C/C++ (multimodal library) mtmd provides multimodal inference. Package: libwhisper-dev Architecture: arm64 Version: 1.8.0-1 Multi-Arch: same Priority: optional Section: libdevel Source: whisper.cpp Maintainer: Mathieu Baudier Installed-Size: 59 Depends: libwhisper1 (= 1.8.0-1), libggml-dev Filename: ./pool/noble/os/2.3/libwhisper-dev_1.8.0-1_arm64.deb Size: 11558 SHA256: a369f19328e812e8b6734dc9933a93d40b83dabaebc41cf42b2ebff94ecf024d Homepage: https://github.com/ggml-org/whisper.cpp Description: Inference of Whisper in pure C/C++ (development files) Development files for using whisper.cpp as a shared library in applications. Package: libwhisper-dev Architecture: arm64 Version: 1.8.2-1 Multi-Arch: same Priority: optional Section: libdevel Source: whisper.cpp Maintainer: Mathieu Baudier Installed-Size: 59 Depends: libwhisper1 (= 1.8.2-1), libggml-dev Filename: ./pool/noble/os/2.3/libwhisper-dev_1.8.2-1_arm64.deb Size: 11676 SHA256: 082f306b6cfe5d09972e5457063ae9ce15dbd55734490f97f805b2bdb3854577 Homepage: https://github.com/ggml-org/whisper.cpp Description: Inference of Whisper in pure C/C++ (development files) Development files for using whisper.cpp as a shared library in applications. Package: libwhisper1-dbgsym Package-Type: ddeb Architecture: arm64 Version: 1.8.0-1 Auto-Built-Package: debug-symbols Multi-Arch: same Priority: optional Section: debug Source: whisper.cpp Maintainer: Mathieu Baudier Installed-Size: 1883 Depends: libwhisper1 (= 1.8.0-1) Filename: ./pool/noble/os/2.3/libwhisper1-dbgsym_1.8.0-1_arm64.ddeb Size: 1764536 SHA256: dbaeb983172c3b850e5172e3a04ce27d4b5ec6ffbf71134b333463c2ff6343db Description: debug symbols for libwhisper1 Build-Ids: a7ae453c68e7e5fb4dc10dbee89faf7394793663 Package: libwhisper1-dbgsym Package-Type: ddeb Architecture: arm64 Version: 1.8.2-1 Auto-Built-Package: debug-symbols Multi-Arch: same Priority: optional Section: debug Source: whisper.cpp Maintainer: Mathieu Baudier Installed-Size: 1891 Depends: libwhisper1 (= 1.8.2-1) Filename: ./pool/noble/os/2.3/libwhisper1-dbgsym_1.8.2-1_arm64.ddeb Size: 1773012 SHA256: 295debf7793dbc63e0304ec40314cb5fc57d29214f715ef39ab25cbfaaa3b876 Description: debug symbols for libwhisper1 Build-Ids: bbc2439db7a55f6fdd28be91ba478129bc64ffd4 Package: libwhisper1 Architecture: arm64 Version: 1.8.0-1 Multi-Arch: same Priority: optional Section: libs Source: whisper.cpp Maintainer: Mathieu Baudier Installed-Size: 406 Depends: libggml0 (>= 0.9.4.58), libc6 (>= 2.32), libgcc-s1 (>= 3.3.1), libggml-base0 (>= 0.9.4.58), libstdc++6 (>= 11) Filename: ./pool/noble/os/2.3/libwhisper1_1.8.0-1_arm64.deb Size: 158492 SHA256: 9a7139a8a49c765a13b6f8594e64637bc7bf766f5cf5f143b6b01cde8bd0f2c7 Homepage: https://github.com/ggml-org/whisper.cpp Description: Inference of Whisper in pure C/C++ (shared library) The shared library provides the core of whisper.cpp speech-to-text capabilities using a Whisper model. Package: libwhisper1 Architecture: arm64 Version: 1.8.2-1 Multi-Arch: same Priority: optional Section: libs Source: whisper.cpp Maintainer: Mathieu Baudier Installed-Size: 406 Depends: libggml0 (>= 0.9.4.185), libc6 (>= 2.32), libgcc-s1 (>= 3.3.1), libggml-base0 (>= 0.9.4.185), libstdc++6 (>= 11) Filename: ./pool/noble/os/2.3/libwhisper1_1.8.2-1_arm64.deb Size: 159328 SHA256: f2d616285c86c07c437bbde301511a185ef6a96e697d686e3a6fa082e671b6ba Homepage: https://github.com/ggml-org/whisper.cpp Description: Inference of Whisper in pure C/C++ (shared library) The shared library provides the core of whisper.cpp speech-to-text capabilities using a Whisper model. Package: llama.cpp-tools-dbgsym Package-Type: ddeb Architecture: arm64 Version: 0.0.6764-1 Auto-Built-Package: debug-symbols Priority: optional Section: debug Source: llama.cpp Maintainer: Mathieu Baudier Installed-Size: 9026 Depends: llama.cpp-tools (= 0.0.6764-1) Filename: ./pool/noble/os/2.3/llama.cpp-tools-dbgsym_0.0.6764-1_arm64.ddeb Size: 8120084 SHA256: 8b4d86a8f776a3f95c4603e1357b848708ac22a99b1f8c833c8ae4b3afcf2954 Description: debug symbols for llama.cpp-tools Build-Ids: 28cd933094e1ab487638a46fae56c6aa4b48a457 a20dc26d70d1bf3b0b623807207f66956c807957 f106fae4bbcee2926e1db8419d7231a1fe4b0486 Package: llama.cpp-tools-dbgsym Package-Type: ddeb Architecture: arm64 Version: 0.0.7011-1 Auto-Built-Package: debug-symbols Priority: optional Section: debug Source: llama.cpp Maintainer: Mathieu Baudier Installed-Size: 9471 Depends: llama.cpp-tools (= 0.0.7011-1) Filename: ./pool/noble/os/2.3/llama.cpp-tools-dbgsym_0.0.7011-1_arm64.ddeb Size: 8506994 SHA256: cf57bbcc5d0676d2a6b84a81167b7fb8f924e79d19683ad6bd52115be269ff5f Description: debug symbols for llama.cpp-tools Build-Ids: 414fbeb5ea1a980256ed8f98ece03da904c3e8f5 c53eca93b4a2d0a4a16507ce382086ad67690f36 f78809d0c7edbb6f84fe6df26a7bf24f451f1e0a Package: llama.cpp-tools-multimodal-dbgsym Package-Type: ddeb Architecture: arm64 Version: 0.0.6764-1 Auto-Built-Package: debug-symbols Priority: optional Section: debug Source: llama.cpp Maintainer: Mathieu Baudier Installed-Size: 7783 Depends: llama.cpp-tools-multimodal (= 0.0.6764-1) Filename: ./pool/noble/os/2.3/llama.cpp-tools-multimodal-dbgsym_0.0.6764-1_arm64.ddeb Size: 7080252 SHA256: 1cc726a9a67105258855845a3be4d87b9849ec02dde9297d5af3a149314bff9b Description: debug symbols for llama.cpp-tools-multimodal Build-Ids: ce3f7739a3a62a875a971eb3e1f7b51f1463c005 Package: llama.cpp-tools-multimodal-dbgsym Package-Type: ddeb Architecture: arm64 Version: 0.0.7011-1 Auto-Built-Package: debug-symbols Priority: optional Section: debug Source: llama.cpp Maintainer: Mathieu Baudier Installed-Size: 8228 Depends: llama.cpp-tools-multimodal (= 0.0.7011-1) Filename: ./pool/noble/os/2.3/llama.cpp-tools-multimodal-dbgsym_0.0.7011-1_arm64.ddeb Size: 7469428 SHA256: 7c6a255f3c160e6b65f013d97e2578ee4962e86b3ea6f9f723cb1e27ae58ca97 Description: debug symbols for llama.cpp-tools-multimodal Build-Ids: 5fc2abf6929b4f8fa48ac9f5caf87d0eb3cab47e Package: llama.cpp-tools-multimodal Architecture: arm64 Version: 0.0.6764-1 Priority: optional Section: science Source: llama.cpp Maintainer: Mathieu Baudier Installed-Size: 1434 Depends: libmtmd0 (= 0.0.6764-1), curl, libc6 (>= 2.38), libcurl4t64 (>= 7.16.2), libgcc-s1 (>= 3.3.1), libggml-base0 (>= 0.9.4.58), libggml0 (>= 0.9.4.58), libllama0 (>= 0.0.6764), libstdc++6 (>= 13.1) Filename: ./pool/noble/os/2.3/llama.cpp-tools-multimodal_0.0.6764-1_arm64.deb Size: 497402 SHA256: ff96f89bca809b56ac80d1d17b9c91e5cbe627fd626c2c75c7cb8114413a81b0 Homepage: https://github.com/ggml-org/llama.cpp/ Description: Inference of large language models in pure C/C++ (multimodal tools) llama-mtmd-cli: multimodal support. Package: llama.cpp-tools-multimodal Architecture: arm64 Version: 0.0.7011-1 Priority: optional Section: science Source: llama.cpp Maintainer: Mathieu Baudier Installed-Size: 1498 Depends: libmtmd0 (= 0.0.7011-1), curl, libc6 (>= 2.38), libcurl4t64 (>= 7.16.2), libgcc-s1 (>= 3.3.1), libggml-base0 (>= 0.9.4.185), libggml0 (>= 0.9.4.185), libllama0 (>= 0.0.7011), libstdc++6 (>= 13.1) Filename: ./pool/noble/os/2.3/llama.cpp-tools-multimodal_0.0.7011-1_arm64.deb Size: 512822 SHA256: 387a0e4646bbd1f704d53abbe9e66cf6e03c8419540cb4407c4fa9221db65519 Homepage: https://github.com/ggml-org/llama.cpp/ Description: Inference of large language models in pure C/C++ (multimodal tools) llama-mtmd-cli: multimodal support. Package: llama.cpp-tools Architecture: arm64 Version: 0.0.6764-1 Priority: optional Section: science Source: llama.cpp Maintainer: Mathieu Baudier Installed-Size: 1834 Depends: libllama0 (= 0.0.6764-1), curl, libc6 (>= 2.38), libcurl4t64 (>= 7.16.2), libgcc-s1 (>= 3.3.1), libggml-base0 (>= 0.9.4.58), libggml0 (>= 0.9.4.58), libstdc++6 (>= 13.1) Filename: ./pool/noble/os/2.3/llama.cpp-tools_0.0.6764-1_arm64.deb Size: 609858 SHA256: f7d56944f1df0cfd1ab121870ad567b6c256c99e314db0cfa4ef12598a2b45d7 Homepage: https://github.com/ggml-org/llama.cpp/ Description: Inference of large language models in pure C/C++ (tools) llama-cli: versatile tool wrapping most features provided by libllama. It typically allows one to run one-shot prompts or to "chat" with a large language model. . llama-quantize: utility to "quantize" a large language model GGUF file. Quantizing is the process of reducing the precision of the underlying neural-network at aminimal cost to its accuracy. . llama-bench: benchmarking of large language models or ggml backends. Package: llama.cpp-tools Architecture: arm64 Version: 0.0.7011-1 Priority: optional Section: science Source: llama.cpp Maintainer: Mathieu Baudier Installed-Size: 1898 Depends: libllama0 (= 0.0.7011-1), curl, libc6 (>= 2.38), libcurl4t64 (>= 7.16.2), libgcc-s1 (>= 3.3.1), libggml-base0 (>= 0.9.4.185), libggml0 (>= 0.9.4.185), libstdc++6 (>= 13.1) Filename: ./pool/noble/os/2.3/llama.cpp-tools_0.0.7011-1_arm64.deb Size: 622080 SHA256: 342e38b9c69f95138c62a21c1928efa86aa6b6a1e72ac02891c0080e458d69be Homepage: https://github.com/ggml-org/llama.cpp/ Description: Inference of large language models in pure C/C++ (tools) llama-cli: versatile tool wrapping most features provided by libllama. It typically allows one to run one-shot prompts or to "chat" with a large language model. . llama-quantize: utility to "quantize" a large language model GGUF file. Quantizing is the process of reducing the precision of the underlying neural-network at aminimal cost to its accuracy. . llama-bench: benchmarking of large language models or ggml backends. Package: openj9-21-jdk-dbgsym Package-Type: ddeb Architecture: arm64 Version: 0.56.0-1 Auto-Built-Package: debug-symbols Priority: optional Section: debug Source: openj9-21 Maintainer: Mathieu Baudier Installed-Size: 403016 Depends: openj9-21-jdk (= 0.56.0-1) Filename: ./pool/noble/os/2.3/openj9-21-jdk-dbgsym_0.56.0-1_arm64.ddeb Size: 394558480 SHA256: e18c88ad51aaea369d94653270c3e82dfacd58e9a9a40a3aa410cb31ed32dc9a Description: debug symbols for openj9-21-jdk Build-Ids: 00306fbe66c70ddaa770c64ee3358a242f47fd2b 0389d89324743750ed11ab92a8580172fcaaef6b 0544099193e92e1363263a456792688118f478a7 06d0f6b72e6e7a52911593043b6eab53b908f8ea 094e6a6da0e2a77a595c52d50a1ff7420e781e24 0b28251f4359d001aba007dc16d9a2fb21e14f9c 0b847fd4f15f5f80342bde834fa048875b8692cd 131f7c3f138438f0c4401a6b3ce9104045dd7925 16ebe8a499f54ef27b4a1c4015c341075b7a1b27 170c6a3b1d5b837bc079339910643b12216e946d 1805cc287bd0ce4a30f9a284c7123c47ee8725bc 18f19ca47f1f15e107ef31dc0211c698f13f53e1 1dcead1b3ce664b9e4d423bfc5039e5b11e0e9d4 1e6a88319a973f38bd4c439a05580e2e124b199c 20d8f79fbdaa68ceafa22e93cd27f8358075835a 21313e69592c2db5b4bd9af8d3c1a18eba1f82da 219e7c6c87f53a77aa95b850741576b83829a141 23db01d057a3270f43f007934a5d9879b6a3dbdd 262c845fbf43d5b3572b525c0fac0caf44a70404 28f9e84ea0f9dad63d59b362eae808fc105cc007 29aa8e3bf2d7d3cd5c9ee06f61e3a3238cc33257 2bebea3f2241f6fa5573731c19ce0e48046a29eb 2f321100bfb56263e501c298c99fa20b8a2dd2c2 3094fc50e7c1bc552b41277b17c9a33f1327ef30 310cb4e394b31c6dfefe57dccfc56bda7ab4391c 3142f3cccf7f0c93cb4b8a6767ed75fa4c32f7df 323399e4164a0d1399f60e3fe1bad07ba0f8d1ac 344d7791d478d210bf096c93d2c2b9d4a28a5e10 37f3b430c4967919c40498d0d0cf7d5c7a4c205d 3891b0a17a8e66c86e55147d814f17c3ca9357fa 3aaa6d64a563f68ba9d6e014d8b95bfd2cdb1d89 3ac201d76a31d90fb14b034698af48a43b51bdec 3ae9ee6d712d7b3262541762e7bf0ccd4a049575 3c222871ef7287bdf444c7c393950eb4a1805d51 401852ad47281ebe04914ad1ae9ae81a329b2a67 4274e0852c3c83c11cfef24a008745b51cf8d048 42836455f5681bd59563379fc1f80a4314a9b035 42af3441d4225e762447caf05559b30a1f6eecd5 441357452efd104c55b8f096b06941850b7243e8 45ff2462a6138644a8ec05bf4ddadb5679e4bea9 4862dc8e0a86b9bb48a8b7850b4703677b1f26e1 49ab843e7aeeac97e75186f88a0928d3a5110f40 5393dabba242efb66dd2ca2902641eba7a1c2261 5594678a2a17eacff37a33b3b2fb6825a9bc0d04 55d0481236914df32604b2d21b436a8edb0ec0d9 56e31552fc1dcc8036b1962746d7e40dbf601d7d 58bb47a5166c4e8ee88d228517aa771321977ffe 58c251e0c958b14e42a51f51918b7f4b5b6644fe 59294fc82c12e32fa87388a00590e168acbb1111 59b20248071c99aeb74601229ede38afae867216 5b0764447078f2a732bbab0e855cd87b5826850c 5c3baa12d70db457cc9c6cd07e7022e309e7301b 5d998d63bc6cde7b265d4647a8005943f0a2b709 5e1f4e5837a3c6565ad1be0faec47c563bd2c52b 5fd9d8235343bc7868618cc5877373328ad74930 60d3f887246b74d0bca7e441725f25599dc827dd 61899a96ca9825e49414e0e1ecf8ae1b94b2c4e8 62cbcf91e4b2e114bb1700bbdc02d2bd05865993 633e8999d1cd09a7313a2a4c0a291051365ee1a4 64734c1e1473d538a1f940326f6bfcbd60976b16 684a06890d5bf0850ffbfe3710ad382d09421e63 6aec8e07a257b2af9f995341532e7dc3badcbf74 6b67650a5010d42b6b40aafa948721f7fbc78338 6b8787ec40f36f0a0e7db73205a51b17694fa353 6c3c8148f72cc40a624a132778dfc515d19438cd 6d2b126b449b0f3abeb30f1def8c2554d1c8dec4 6e95173fea18e1ffeb52f05fe381aa07c63d070b 6ebfda14957059c9e7cdc9125ec70aeed3808f88 729265b3bd33879e62a09ae49167fb2d06ab2a95 72ca26e3e0461b7e3220087f5b721df67ec88464 72ce03e1ed7d444570b6a0976f054313572c448f 732cc1095d7347d24fd877634cb6e7a8d023280a 73b520edfdda9501151dbf06dcf5dcdb9e695ef5 7890ef9c09e47fb4a3682495cf0e7593cf3ff40f 7a63ffc0c91012a78806181ee78fe5279e8664e6 7ac2b22c45cf45072f21c7de61c2023f784d2c9a 7c12fc97248ff1a06cfa49a33f95a94bba381228 7e21645b2492cfeb7a1ec4c4ab643fdb11eca54f 7f18d8c66702143aa865278db7ee762d0f1b6998 801d6ce8e81e8cdc68d77c474a0dde4c3040360c 8130c8725f81fab85c66c7b0e8b29e7b1f251080 81c93bc29ae0057f7feb212577ad7dd4810cea39 81d60c8cfe65a3816dbafe7f56b223a9657881e6 8208e94c660b039e7de50399a92bfd39be8a04c5 888986b8a539936cc0f440bf903d227db71c8104 8aa4da905e6b7027bdc11e0b84167c22bae0df02 8b2ad89cc8ad093b9c94ccc62ee215e5089ad596 90f98215cfed8d80f4ff1c8ed15b937985dc65b2 93a1956bd5e49bd10422de311e9781c7806d5ab0 961387507bdad1a9807730b005ef5104bc3158cd 96fdeae65d55bfbc455beb53dce994ea95162c8f 9884f9634d7912d72f205325151e67934123bad8 99b8754b301071b861035e986c04dbfc71be4421 99c094ab013a3563bff7d4c8ce73529f1e3c567c 9d11470a1be4da5dfd8f1d529468db69860a3282 9d66f274458182827d40c8371fe5daa1a637926b 9e1f7b7b053029ece79268d79377ea6216a0daaa 9ef2ec83436307d50bd812d423d63e344876ffe5 9f84e06fe014488170332dadcfbe3b285234e396 9f8bcf5f2c8a07e2114aebcd98af4b7ed8bdde1f a3b6dce53f9bd8cb8e10890bdb0481b3ae4cebd4 a3d6d67b01ee77fc9da238a4d451b593f67bc9e5 a3db999a780549716218b5236af80d32233dc62c a4a2da5032cbdb7fbb34e9273ac5241851206d70 a4b0ded79ec83f19aad37dfb231fb71067f54f3d a560bc24e89378bbf1e07a5b9fd645f6461468f7 a5745f988fe9f77ec60118e9b3e701eec5bcbc97 a603a05675120f07d3cc0ab1ce0b055499452cfa a6e4298fa68c4dbddc61892d7eca918ca868295d a7caafd5fb917a17e4a53d4fbecff106182b740d a9ecb96f444b6f96443e693d04d1c424c0e63e43 aa4c45e15a4205362ea37a3735692fb306b69547 aba46daa8d7c6cb0d763a8e07ab2ef0e24fe0dd6 ac71e7f03955d148d560675656dbbb7636e12616 acb750c9322c50918075fb78426c713e90e337ae af6792608155fa435208be6fe03ef5849d7fc7ad b04ffc4ae77cc405f536b0208b44818cb15b45ca b17d1cf65a62855f17aac91c1f27f016ff6f7286 b1b6107e9ac9d694b5089b8026df848547ef7da7 b2c3a07b5a3595ac2311a61cab9f62f9e544a6c9 b383199b8cd270c6b2633afdbaa4f184ca68ab97 b498253c381b00a92908c535ac47af9d78e5576c b4b0e9681b39cb536c6dbe41ae46977862d7b7d8 b501a44c67c5d5a5282c2cf2e2192534db15264a b55921dbcf22285d902b0ccfa8a1f4fc469fe2a1 b576dd04276897b9dd02db7120c83472a3f1450d b642b5eef99f70aa220d05c11d20bf916ce615e5 b737517b05bf7b1d4392bbb2fa761a194cc7282d bb5141fe4085e9714fd46858b0401e5313506c02 be20cb65b9d7b33a327c2a83b021d5b8491c7741 c243dac82961d7e2b5873ab6cdce785292c08ed3 c2772d2a650d1e819bd263f9f6c114a061817463 c2b632fab10b57db6d24ee2a1b28cf9becd84836 c5abc0aa1c07514eb9ae66e39a8f2c61d19b5561 c604cde03ae3d68825d034f1f4416c5ad9b67ec8 cb0ec9823669a7a36fcd55b7b80e7c0b224075c3 cb321474aff1aa9f05b9669ea7646501f310fbbe cbf6fe8f2f1a323b68a005e6832f8cb170e99789 cc31a5d00386947b9cf2fb80993641b06fb7817a cf9043d5afdbd1f38a93ffcb0db353bb2d2ee6d2 d0fe18b827c182788d68975708768e9225a22f6e d1411af57d208569372a5094524af8dbd47d0fe5 d2e56381e968b272d387dd6cacf03aff2c0187df d3d4a31fdc6267a64615e989df49d0741416e366 d6b5e62c52099834d6caf0f81cc7db4e8a5fd679 d71f4c72c0d5886ea906f2f850971b6380e434a7 d77f4d24c7a3d71cd58a35bdaed4d63572efe98f dca4db6ed216d5856f7832b052be42663e2d63fd dd2c69802c1125c9b89204eff78f3e741204e923 dde78b65fb7930197728a07015ff4f5079902901 deb49619ee6420bef670acdef6e362261dd20727 e17696a35b737058d60d15e2982473d81113e2af e31003bc7a103fc2f9b6419e556c11dc1ba5695a e335557a5c5d665d6bee3a344e28a05e96246633 e3cdecee3aa0ac8323d58ce9e66aadba6694c5e2 e48da9aaa8fcdf77b3b31ee23a6c062948f1d9e4 e5858ab9ca2f88a642f429a97c80d70be5728aba e5f629455be2baebd3d4f16118cd1556dcd9b2bf e7e9af8afe7d4bff57b41ed4e2d3050fe6d23334 e7ec595da83e3bb5c33672cbdf4c3760370c1b17 e879fc91b57d1dc15c017992717a59919b6ebe5b ec0ae3809457e9b76ec97a01b495258c81a1a886 edd520603616ff138a87b0cbbeb636faeda898f7 f0704e8165c1fb1a8488208c58c240373a5863db f08e11d4a9b442b42d8da9b58c28f877cc41fbb8 f0cf4361c8c7a184a235fd91f8b97885bd3885f4 f0df7ba326ca2c113250420b0d137c9273112e06 f1134da877661837d1c091f3d29b7708870c2a78 f132555fe5476bfda74675f864ee8e5602dc34bc f16343b0e74ffa203294b09b89419c625d12ce4d f19bc736ef1da3c9d0f0fcd55f7991bdb6613d76 f6753dfbb8c8c8e7ee4f1838994da6c5dc7eae39 f872d826b04838229041d32deeca3191e43a5ae2 f8ba562d133f6d7ddfb143da6c4d35965536b27d f9295d5168f6a0f83c714d46e9bcef38f8fa5c64 fc245e99151af74ac65a1abeb15903d7bc9d6e83 fc4b15c07eaf44b17f21a499ba949103810ab97d fcf3264b1c841fcdb702ec0aafdbe07147418072 fcf93df204f87e91cfc56b038dd42514097dc108 ff34e40db38a118996db7b3359d99daab777e0db Package: openj9-21-jdk Architecture: arm64 Version: 0.56.0-1 Priority: optional Section: java Source: openj9-21 Maintainer: Mathieu Baudier Installed-Size: 206861 Depends: java-common, libasound2t64 (>= 1.0.16), libc6 (>= 2.38), libfreetype6 (>= 2.3.5), libgcc-s1 (>= 3.0), libgif7 (>= 5.1), libharfbuzz0b (>= 1.2.6), libjpeg8 (>= 8c), liblcms2-2 (>= 2.8), libpng16-16t64 (>= 1.6.2), libstdc++6 (>= 5), libx11-6, libxext6, libxi6, libxrender1, libxtst6, zlib1g (>= 1:1.2.2) Filename: ./pool/noble/os/2.3/openj9-21-jdk_0.56.0-1_arm64.deb Size: 47917404 SHA256: 6cd6391dc93efaae8413370da2b945a6f6d0af90d742ea4f6f2ae4fa6afe1b64 Homepage: https://www.eclipse.org/openj9/ Description: OpenJ9 JVM with OpenJDK OpenJ9 is an alternative Java Virtual Machine (instead of HotSpot). Package: openj9-21-jmods Architecture: arm64 Version: 0.56.0-1 Priority: optional Section: java Source: openj9-21 Maintainer: Mathieu Baudier Installed-Size: 91950 Filename: ./pool/noble/os/2.3/openj9-21-jmods_0.56.0-1_arm64.deb Size: 86027590 SHA256: 6c184edaadf3f89a4ca11d23557961d2007e6873b7f20e2d3a3183915850aee5 Homepage: https://www.eclipse.org/openj9/ Description: OpenJ9 JVM with OpenJDK (jmods) Package: openj9-21-sdk Architecture: arm64 Version: 0.56.0-1 Priority: optional Section: java Source: openj9-21 Maintainer: Mathieu Baudier Installed-Size: 10 Depends: openj9-21-jdk (= 0.56.0-1), openj9-21-source (= 0.56.0-1), openj9-21-jmods (= 0.56.0-1) Filename: ./pool/noble/os/2.3/openj9-21-sdk_0.56.0-1_arm64.deb Size: 2372 SHA256: 108f14fae073f46ad4b6bd24fdc344aaf3cda9a843ebfda8d4c3c3a1f94171e7 Homepage: https://www.eclipse.org/openj9/ Description: Meta-package with the dependencies for a fully functional Java development environment based on OpenJ9 Package: openj9-21-source Architecture: arm64 Version: 0.56.0-1 Priority: optional Section: java Source: openj9-21 Maintainer: Mathieu Baudier Installed-Size: 61123 Filename: ./pool/noble/os/2.3/openj9-21-source_0.56.0-1_arm64.deb Size: 54822996 SHA256: 4c117ba0d3fefa66c1a83de9044692c3e9aba9497bd98e54cbee9b5303473112 Homepage: https://www.eclipse.org/openj9/ Description: OpenJ9 JVM with OpenJDK (source) Package: openj9-25-jdk-dbgsym Package-Type: ddeb Architecture: arm64 Version: 0.56.0-1 Auto-Built-Package: debug-symbols Priority: optional Section: debug Source: openj9-25 Maintainer: Mathieu Baudier Installed-Size: 403993 Depends: openj9-25-jdk (= 0.56.0-1) Filename: ./pool/noble/os/2.3/openj9-25-jdk-dbgsym_0.56.0-1_arm64.ddeb Size: 395629470 SHA256: 511dda6eb7a74559004b541ba62e6bebb44af8e0d2ccafb048306959869f8b33 Description: debug symbols for openj9-25-jdk Build-Ids: 024ee56aa8d6729a9408af96746734262e88b949 03cf4b72d05152ac920e1285a58cbf4fa9c27558 07bdb3b2d98e1176d827191e3bdff890becbb05c 087a36889f9bcba8b55f9b0708eba9065cad123d 08bd7cd10f31ed76d347e134dc28d44632363882 093a041235025747857167703e8213d9a2e9a39c 09bf4007fd318a32d28c64c1672f989c525a0649 0a7ff7c348e050f0a7d4e5b2b5281ae26908de63 0e5e871e99284c3265c80648dcd9e7440fb13377 0f0003a257ae077792ed8e14eafd65e1bb64a2f9 0f794f792e3479a614823b038f06d6f83cef2d56 10465388008d9dfa2bacfbb576f2f4765fef32c4 11c8ebe9268dec3ec16e63961bd0f0dc372bf3cd 12ac27e07414b9a0f4fafac24bc3b963a1de29b7 14f3e8f5b44b0a6ef9cf15007ff3bdf29c59f83c 17a339ee2b3448b73096ac46c6ab822be02ca0d8 198174b5ca2db61a4d3c1e286c466f78b4e10634 1b1e865b7faa43d1f764625f4476802da0e5bc30 208198f983fe2924c16572b2aa339fa18f7aa420 22029316de320008f0bbc39dda19a7766e451b92 22231e6c43a0e7ce95e3ede646d849f2b0d3b36f 2256ed49fdf59671f1f9fec3412595061feca432 230467e85c6e372f71dd34be242dfd1536b5ade1 25e2ac45f73e85eaa4bfc3b6d95874a934c5fe03 271329b684c18f5eb614919ad454ff84734f0aeb 28af9eb7041aaeafe973330669f93891f4041868 2bd88ba21328d85b93d98c403ba4d47cc5a465fe 2d9ccd90c35ef6615d0c176aaf38247d0dbcaa98 2e505079a06afc5c52bfbdbd5ae5e97c317a2190 35e68de47b1942a0dc992f19e1d2983547bd568d 36759d108b6a9af26c2470cfe8fd889ea2cfcf80 3d70accd51529979f0800efad7ad6e6e751bf996 3e38d3be9eb7ed38091a5d5813b9d94ebe40d00c 41f37c5e94d04d78c5ae64e89d61547060877fea 42de3c50a1727a7ba844774aa74ed4cc10ba6ded 4963ce6b36e76211b9ce9466cbecab685a105e1c 49a0987f8e54ee8d483328ddfff199de809a07f7 4b2c175885a6f742a5361c0b03c6413de767ba9e 4b7ab820d31ba4459a1b5d91c7db9fd0285feebb 4bbf4aa1343fdd283032afffe82e98adb09844b7 4dd7e99550c8ec38c05e514c6ce73ad8fac3be6f 509030c779aa6965a9db0fbd6a2dc8bf442f108b 51b29458b93c66947764f7931bf6abba2b79234a 533d91853e1fc05ce31d1a0a3f72db9005b9d604 54d362e0b72112bb93f7db1c1ceb22b2c7ceed04 569491f76860da1e72f82fa2f771d92ab135344e 576ddabe93cf5cc9900a7d0cd54eee1f49721328 57b45f8e16d040fec0d576afae93214a07ca5952 5852881df9ca4dad7c52a6ff23190c50d255f0b6 59f50c994c58d921ebc8632ae0a1b4e2271cc91e 5a298e48c101c5b4edcba0002cdc86ead4f21443 5cd7176429a3152cd714f0a797c6bd61f6055560 5ddce406a310a3da970a929f8379e5fe6eeb407f 5ddd1de9aff2904e1e36f47b5f2cc06e304d809f 5ec5c6df9d08d823419a0aa6194ef2d34bc744f9 600c3c6ab7704e5bf0f3e12e574a11e3a74aeb4a 60be33a2a309ad988ba89f4dcf267ec63bbc6ebe 62d296c91f7381ead77b36f5b774d76bba3da07f 6435ab24cc9d5dc68a847f9090421b9404ff6d39 64d939129617dac57aa708ddb03985a96ae27fda 650c6e33d92cfb664453f6afcbf42a3f1ccb2270 6554bba9d27ebc8ee269b147681970f27fde9670 69f2dd750f4bcf858a28f6c3405d5c1011f8cdff 6a7ff12aec2f607f1e375b37d065408e17eea197 6a819ab75a124a354ab99b95f4e0f4f3be8533c1 6b56184ab97c310d9e2e4426e3f1e0b3b3da98cb 6cf98a5a3719006a973f0e81ff68e3d62223d852 6d6866a027c970cdb987dfb46df2dd5796d3fb7d 6e3d4824d0c6249857c4c5cca1489eecc6c2af86 6ea8c93211e23247542443017eccee0a2013c68e 6eb1ba05f5e2a136692cb2c30486824f38c4113c 71ba7c76978245c7a2a4dad2577c9f4754c9009a 72e2859e41c18c632696a0927f5b2e9d1b3c2a7f 758eb6fd33919487ff38d5bd0ab790692abd81c9 761bdb8adb7f89d9aa37cb2c6edf0e2282cbc41c 77498d6deb4d84c67c71ef3b98c1aa2d0e2b4bc7 790e24c7b9082331460626b457519d918f3402cb 799c6ed1f3bf70a5bef85b0148070caf4f9e2a2d 7a17309c8f59c637fc0afb4c4a465b371c7595bc 7c4ac48cb170793e616ce4612560b2ad35c8d300 7c9a4a80ee672c89581ad8e10f51f9d2ee1087ec 7d1b946b2b66bf86fd981e4a9d770c03592021c4 7d9b9dc075503221d50708a450841c555431e1f7 80483077d3992520476fa388ea35f343835143ca 811aa5752065895cfe7aa3b8ed7c8de6e2ebb129 818bdc9e3626638ca8d3d6a1e5d7b72fbbd4162a 824a68d2cea2b1f695361053e28c1065d82ee7a7 83d2f396a9a0423dfb3b522b06de55bb1f3c0fa2 85a347cc144958a90b8a8555837455b67872577d 8724b5cd6c071611b6831f921457b0b817a86ace 875ea361b420858616aef4fe13c6d4eb835c4383 8868d4839c5fc16bf2f9751dd24de81677508e6d 8c796c9f066e3b08c49b9830e64af99465335c4b 8ccfde61108bc57fd9d3711114435936e66f914b 8e3cc01c8c5095ca88eb3ff65c4a8a3945145372 8e531e288f1f36b37e5fe8e3dc82f547312ecff1 8fd5239c74dcc5ebf7466bef65a5074fd8265c1c 924a9b11f79b8d2ada79d1057c498be833ce8740 950308393a58fdadcb9e395f99ef86dd11edd654 9522f1f34d0ff3ff9b48d8861e0d370b02113fd7 959704c26c906511208cb5ec8318b5ef2bf0daf2 99c41bd86189bbbf952a444e61e7b2890b008b71 9a45d90d7d1499d36b490c89c057d752efb74bb4 9abeba627401b3fcc7f61d44a480c7f52424f7ac 9ba4a69bf2c53704ca6bb2409ec4268eeec0bc12 9bb6d90f2120872bab5b65c7965c517c98e5f886 9ecb4ebd273011889b187d40630d7058116133c2 a42d07bcad00a2538cb0731531e1e5c9f34f9ddd a60fd7a81e69ef9383d701f8aa5ff5447697a100 ab27e6d463e07b208c5210ba1f51b745f094afd4 ac7512c05dda7904dbd125b541147a478e4258aa ae277c466565b6c14c80c1d389723995995d09bd af58a9cdd84c69284afcd73d80ba9ce8cb66f456 b0ca577dd10345e805b2d9364856810cd28ae5e3 b0e9d25f13762d11b342acd1470a594ea76eb689 b1d148595418346263ccc9b354c7d63620b305b7 b2098a13d3e81774ffbf20a706b3579c82e3dcee b25440000c768c422f4dee68e154c51f372e2120 b298c43ee05012e3bcdd9760b9021f4a93f205a0 b364826855712467390d52e56b288ccbaad682d5 b83776dd60ff8cc2c9a7f1aa5057d3b062e3a857 b88e8601f96b89c0b6a3f3ebebd606065c8694fa bb77d739ced0cb2ff26ec8afb246dd703af308b8 bc4dce39cd850c71cbcc11cca6dfd910f609f98f be58623c194fd95176dee270f3668adc8e0388ca bf7c9ac4507124e576b7cd558312306ae2c0530a bfb79806b8f9ed37a9ffc01f92726491fe433092 c29f5b1cd9d7aa084ab9008450076aa0aa3f6ff5 c2a257ae5f209b3e5dc7c0f260a3ce34760dd6e3 c316ee6dcb598274621389b9028afd71d42c09b4 c5c3cf8cdce272b57ee0e6e03bb5676cf70e7388 c6bfd3b2ed8ae37cf2293ba81a51df22c01d0cb0 c6eee9faf513e6ad63da0ad21f602cdfe7eb7931 c9b2da0c7550a041c35355c40d2ef39efdfd9e20 ca2dd486ade8e37f00a2cfdb27431e25a490f786 cab053c2d033bca6aa73f06695bba9ff43612090 cab5f7dc1a78b3c20e5a67380b956c0d4c003aba cb17b636007eedff158f170491f942205cdf1095 cd69832374d9c1e6e17962bd446eb9391672754f cdcecdca5ab7232b21490efc7058f583c3a30e79 ce57c4c1c7beb548dfee98a421dfdbdb257f87ab cf23ac7147befd7de8f310098d84bb015aea93c9 d5c4d2bd15ba1fd00fd909bdf3e1af49c0b1a543 d60465c680ba56872c2981ffa721e36a86d464f5 d79b8cb47abafb4150b039097b7218faa7f6dfd6 d9320d66107a4bdd3f116395ae02e0ff3818d33d da6838d83453eae235acfd96b93e2535a85513bd da750e74fd2ff41284ed766020f964d1267e4b77 dbb47cf0531300dafa19930cb945d8d9dae1f591 ddc7b0a655916308fba426ac187a582307a63f49 e18dcca6b7214598158c2163d45486d76980c515 e252194889342474f459fe264e79989d22105331 e25bd864b68a3960634f4f48cd454b4cf557f8f0 e38037133d544143cf6facdf7af8d75377fe091b e397e4a6078cd7463e63baf7d5dd86030c9af02c e3aa34fece5417e1ee44d879e5b4246e888b6e92 e6197bbd6e1ead73be40622f52fc378e5e328d87 e660e5117b1ff7aea4dae2fc1d2664cfff403c01 e6b8f5674035d39b11e42eb7baeaf134b087a791 e7dd1073fdb66de15845abe60b784045a09db767 e930c8e48c298e03469d48c7bff054ae129966e5 e936d2a166ee062a58a1780cf45c201df2a03083 ebabc33521f0472caea3526abaac74281b3dd408 ec59d3a2ba30f1516c922e564b87f19f525f5cc9 ecc7056f11ee3bde76298d01f1cc0a2d8fa5b6e2 ed7c7110ec57b918501f7bcd1985fd21c61fbdcf ed916f659c18c4d3ef9321c56becbc6c7683b066 ee48b351deeb6608b4ad7f4aec1f559708770279 ef8a3ef81931b9a04a1fd8bb67559b16fb93b002 efcd10b16cf8dd7fb86c1282f3000a621357e64e f0ff3ff93576d7968d651c4c450e02c1233fce1b f1075e483195f8dea51a9c142bc0fd944841f4da f2bb0e8eaf8f843ee6e69d96bd30b1e57f7121aa f43d6bcf949de945a44c10c96558d862e2bf2ef7 f5e11b3aa8544a29cd47bfeeea65134596fb477a f84703a36fa78379e953d5b54f0e16b8edafcebc fb876e4f93007de8187cb9ff39027dfc4c6de545 fc9916dda9e63d5cce04c4da2eca56a1c13c3587 fca19ca8da6caf3931be365ab6f879ca6ce09445 ffda7fc2f40ff18796c666586da6a13ddada1b01 Package: openj9-25-jdk Architecture: arm64 Version: 0.56.0-1 Priority: optional Section: java Source: openj9-25 Maintainer: Mathieu Baudier Installed-Size: 215966 Depends: java-common, libasound2t64 (>= 1.0.16), libc6 (>= 2.38), libfreetype6 (>= 2.3.5), libgcc-s1 (>= 3.0), libgif7 (>= 5.1), libharfbuzz0b (>= 2.1.1), libjpeg8 (>= 8c), liblcms2-2 (>= 2.8), libpng16-16t64 (>= 1.6.2), libstdc++6 (>= 5), libx11-6, libxext6, libxi6, libxrender1, libxtst6, zlib1g (>= 1:1.2.2) Filename: ./pool/noble/os/2.3/openj9-25-jdk_0.56.0-1_arm64.deb Size: 56460298 SHA256: 096cc9d1209750266e84f3476522b95e787c6b67286fce47a748326b5ad62e28 Homepage: https://www.eclipse.org/openj9/ Description: OpenJ9 JVM with OpenJDK OpenJ9 is an alternative Java Virtual Machine (instead of HotSpot). Package: openj9-25-jmods Architecture: arm64 Version: 0.56.0-1 Priority: optional Section: java Source: openj9-25 Maintainer: Mathieu Baudier Installed-Size: 95812 Filename: ./pool/noble/os/2.3/openj9-25-jmods_0.56.0-1_arm64.deb Size: 90237094 SHA256: 99864fba6be89345fd7658890616ab4fb172771b4e27d6d8c299a8a4a62b4c52 Homepage: https://www.eclipse.org/openj9/ Description: OpenJ9 JVM with OpenJDK (jmods) Package: openj9-25-sdk Architecture: arm64 Version: 0.56.0-1 Priority: optional Section: java Source: openj9-25 Maintainer: Mathieu Baudier Installed-Size: 10 Depends: openj9-25-jdk (= 0.56.0-1), openj9-25-source (= 0.56.0-1), openj9-25-jmods (= 0.56.0-1) Filename: ./pool/noble/os/2.3/openj9-25-sdk_0.56.0-1_arm64.deb Size: 2374 SHA256: f8ee7aa125d93807c14ac4e62ce255343014f11b43ecae261564b1d1b92b359a Homepage: https://www.eclipse.org/openj9/ Description: Meta-package with the dependencies for a fully functional Java development environment based on OpenJ9 Package: openj9-25-source Architecture: arm64 Version: 0.56.0-1 Priority: optional Section: java Source: openj9-25 Maintainer: Mathieu Baudier Installed-Size: 60673 Filename: ./pool/noble/os/2.3/openj9-25-source_0.56.0-1_arm64.deb Size: 54412014 SHA256: 97016de8cfc4a39962b6178e61b20e88661de0abf0ea3afe9f0c42afac7daa66 Homepage: https://www.eclipse.org/openj9/ Description: OpenJ9 JVM with OpenJDK (source) Package: whisper.cpp-cli-dbgsym Package-Type: ddeb Architecture: arm64 Version: 1.8.0-1 Auto-Built-Package: debug-symbols Multi-Arch: same Priority: optional Section: debug Source: whisper.cpp Maintainer: Mathieu Baudier Installed-Size: 1373 Depends: whisper.cpp-cli (= 1.8.0-1) Filename: ./pool/noble/os/2.3/whisper.cpp-cli-dbgsym_1.8.0-1_arm64.ddeb Size: 1243078 SHA256: 7e2cda0b1e2ef01c0ce5d1e2dda7e42f0ca6443e45893f720342c4c88aa156e8 Description: debug symbols for whisper.cpp-cli Build-Ids: f96020537f6a8b098a02b0d0f1c57c9b157cf5af Package: whisper.cpp-cli-dbgsym Package-Type: ddeb Architecture: arm64 Version: 1.8.2-1 Auto-Built-Package: debug-symbols Multi-Arch: same Priority: optional Section: debug Source: whisper.cpp Maintainer: Mathieu Baudier Installed-Size: 1373 Depends: whisper.cpp-cli (= 1.8.2-1) Filename: ./pool/noble/os/2.3/whisper.cpp-cli-dbgsym_1.8.2-1_arm64.ddeb Size: 1243422 SHA256: a204cf404ad4d844b9af8ab120c1ff53699eb826b7c201b7be51686fe7570046 Description: debug symbols for whisper.cpp-cli Build-Ids: f79d688b5aae7286c2ee3db0f020e4d0edfe8c85 Package: whisper.cpp-cli Architecture: arm64 Version: 1.8.0-1 Multi-Arch: same Priority: optional Section: science Source: whisper.cpp Maintainer: Mathieu Baudier Installed-Size: 402 Depends: libwhisper1 (>= 1.8.0), libc6 (>= 2.38), libgcc-s1 (>= 3.3.1), libggml0 (>= 0.9.4.58), libstdc++6 (>= 11) Filename: ./pool/noble/os/2.3/whisper.cpp-cli_1.8.0-1_arm64.deb Size: 165124 SHA256: 23b9d63a95695ecc2962673c4303c4f56f5fb9ffa42fddce282f0652d6125940 Homepage: https://github.com/ggml-org/whisper.cpp Description: Inference of Whisper in pure C/C++ (CLI) A versatile tool giving command line access to most whisper-cpp capabilities. Package: whisper.cpp-cli Architecture: arm64 Version: 1.8.2-1 Multi-Arch: same Priority: optional Section: science Source: whisper.cpp Maintainer: Mathieu Baudier Installed-Size: 402 Depends: libwhisper1 (>= 1.8.2), libc6 (>= 2.38), libgcc-s1 (>= 3.3.1), libggml0 (>= 0.9.4.185), libstdc++6 (>= 11) Filename: ./pool/noble/os/2.3/whisper.cpp-cli_1.8.2-1_arm64.deb Size: 165238 SHA256: 326bb35d4ea67b7fb06dd836a8d0ee6ef61d502a06a1280d5154beb4f17ba769 Homepage: https://github.com/ggml-org/whisper.cpp Description: Inference of Whisper in pure C/C++ (CLI) A versatile tool giving command line access to most whisper-cpp capabilities. Package: whisper.cpp-stream-dbgsym Package-Type: ddeb Architecture: arm64 Version: 1.8.0-1 Auto-Built-Package: debug-symbols Multi-Arch: same Priority: optional Section: debug Source: whisper.cpp Maintainer: Mathieu Baudier Installed-Size: 696 Depends: whisper.cpp-stream (= 1.8.0-1) Filename: ./pool/noble/os/2.3/whisper.cpp-stream-dbgsym_1.8.0-1_arm64.ddeb Size: 592086 SHA256: ec192baa52a32b4cbdb1b1a75011bb5d1c10a13b7ba08c5221e5241df5a234a5 Description: debug symbols for whisper.cpp-stream Build-Ids: ad01814b61aa704b4cb57cda1ba692a82de5deed Package: whisper.cpp-stream-dbgsym Package-Type: ddeb Architecture: arm64 Version: 1.8.2-1 Auto-Built-Package: debug-symbols Multi-Arch: same Priority: optional Section: debug Source: whisper.cpp Maintainer: Mathieu Baudier Installed-Size: 696 Depends: whisper.cpp-stream (= 1.8.2-1) Filename: ./pool/noble/os/2.3/whisper.cpp-stream-dbgsym_1.8.2-1_arm64.ddeb Size: 591852 SHA256: b164f151e0b22f9ddd9566cb826602cd682dcdd597e196b3efbe13aaf7d98333 Description: debug symbols for whisper.cpp-stream Build-Ids: b6c10f9019ccdaecdcfebdd74155282f6c9f64e0 Package: whisper.cpp-stream Architecture: arm64 Version: 1.8.0-1 Multi-Arch: same Priority: optional Section: science Source: whisper.cpp Maintainer: Mathieu Baudier Installed-Size: 82 Depends: libwhisper1 (>= 1.8.0), libsdl2-2.0-0 (>= 2.0.12), libc6 (>= 2.38), libgcc-s1 (>= 3.3.1), libggml0 (>= 0.9.4.58), libstdc++6 (>= 11) Filename: ./pool/noble/os/2.3/whisper.cpp-stream_1.8.0-1_arm64.deb Size: 19356 SHA256: 8c4c91fddbe3dcfa41593a57e6772b4b70e0ade2fbd304fddf8ba0c5594ea3dd Homepage: https://github.com/ggml-org/whisper.cpp Description: Inference of Whisper in pure C/C++ (stream) Real-time speech-to-text of SDL sound input. The SDL sound input (typically a microphone) is transcribed as text to the standard output. Package: whisper.cpp-stream Architecture: arm64 Version: 1.8.2-1 Multi-Arch: same Priority: optional Section: science Source: whisper.cpp Maintainer: Mathieu Baudier Installed-Size: 82 Depends: libwhisper1 (>= 1.8.2), libsdl2-2.0-0 (>= 2.0.12), libc6 (>= 2.38), libgcc-s1 (>= 3.3.1), libggml0 (>= 0.9.4.185), libstdc++6 (>= 11) Filename: ./pool/noble/os/2.3/whisper.cpp-stream_1.8.2-1_arm64.deb Size: 19400 SHA256: a2c5f714e5293dbc94852db41981c08c04cfd06b61365f8fcaf86a92a24a3e3b Homepage: https://github.com/ggml-org/whisper.cpp Description: Inference of Whisper in pure C/C++ (stream) Real-time speech-to-text of SDL sound input. The SDL sound input (typically a microphone) is transcribed as text to the standard output. Package: whisper.cpp-talk-llama-dbgsym Package-Type: ddeb Architecture: arm64 Version: 1.8.0-1 Auto-Built-Package: debug-symbols Multi-Arch: same Priority: optional Section: debug Source: whisper.cpp Maintainer: Mathieu Baudier Installed-Size: 1246 Depends: whisper.cpp-talk-llama (= 1.8.0-1) Filename: ./pool/noble/os/2.3/whisper.cpp-talk-llama-dbgsym_1.8.0-1_arm64.ddeb Size: 1093856 SHA256: 8508ed0c7401d429545f2325b691ddbae1ec303d0b712176b5524ead5787cd21 Description: debug symbols for whisper.cpp-talk-llama Build-Ids: 14d21fb501ea04c4fea0ed7e4581c432bd1ff231 Package: whisper.cpp-talk-llama-dbgsym Package-Type: ddeb Architecture: arm64 Version: 1.8.2-1 Auto-Built-Package: debug-symbols Multi-Arch: same Priority: optional Section: debug Source: whisper.cpp Maintainer: Mathieu Baudier Installed-Size: 1246 Depends: whisper.cpp-talk-llama (= 1.8.2-1) Filename: ./pool/noble/os/2.3/whisper.cpp-talk-llama-dbgsym_1.8.2-1_arm64.ddeb Size: 1093798 SHA256: 1f211c64901789529fdb9b0263e9c4523fc7e482bed6489ccff33125a50e5f41 Description: debug symbols for whisper.cpp-talk-llama Build-Ids: 3df254cf74a4482f5f7000f0547136b9ad4f27b8 Package: whisper.cpp-talk-llama Architecture: arm64 Version: 1.8.0-1 Multi-Arch: same Priority: optional Section: science Source: whisper.cpp Maintainer: Mathieu Baudier Installed-Size: 212 Depends: libwhisper1 (>= 1.8.0), libllama0 (>= 0.0.6764), espeak-ng, libswresample4, libavcodec59, libavformat59, libsdl2-2.0-0 (>= 2.0.12), libc6 (>= 2.38), libgcc-s1 (>= 3.3.1), libggml-base0 (>= 0.9.4.58), libggml0 (>= 0.9.4.58), libstdc++6 (>= 11) Filename: ./pool/noble/os/2.3/whisper.cpp-talk-llama_1.8.0-1_arm64.deb Size: 70740 SHA256: 356b45f6e312afa64b5785c648ea0b5c165e20d31f2673ca3a81f756c6e45e1b Homepage: https://github.com/ggml-org/whisper.cpp Description: Inference of Whisper in pure C/C++ (talk-llama) A tool allowing one to "talk" with a large language model, using llama.cpp. The SDL input (typically from a microphone) is translated into text by whisper.cpp and sent to llama.cpp for processing. Package: whisper.cpp-talk-llama Architecture: arm64 Version: 1.8.2-1 Multi-Arch: same Priority: optional Section: science Source: whisper.cpp Maintainer: Mathieu Baudier Installed-Size: 212 Depends: libwhisper1 (>= 1.8.2), libllama0 (>= 0.0.7011), espeak-ng, libswresample4, libavcodec59, libavformat59, libsdl2-2.0-0 (>= 2.0.12), libc6 (>= 2.38), libgcc-s1 (>= 3.3.1), libggml-base0 (>= 0.9.4.185), libggml0 (>= 0.9.4.185), libstdc++6 (>= 11) Filename: ./pool/noble/os/2.3/whisper.cpp-talk-llama_1.8.2-1_arm64.deb Size: 70804 SHA256: fb0d0707cb51617df524e32bf833ed155815c0e84375df06d95363d970849f5b Homepage: https://github.com/ggml-org/whisper.cpp Description: Inference of Whisper in pure C/C++ (talk-llama) A tool allowing one to "talk" with a large language model, using llama.cpp. The SDL input (typically from a microphone) is translated into text by whisper.cpp and sent to llama.cpp for processing.