Package: ggml-dev Architecture: amd64 Version: 0.0.1802-1 Priority: optional Section: libdevel Source: ggml Maintainer: Mathieu Baudier Installed-Size: 2212 Depends: libggml0 (= 0.0.1802-1), libggml-base0 (= 0.0.1802-1) Filename: ./ggml-dev_0.0.1802-1_amd64.deb Size: 501352 MD5sum: 64bcfab1d989e0b9ede9c5ee99e87c36 SHA1: d09282e3c206b2d81d721c5be18a5631da1890ab SHA256: f074cea4c9b7c4b82cecabb8e8da327621c862fc50a0355afa848439fc0c7889 SHA512: d5313eedb89940bc1865ed7b2f2732511f2068d49d4fbd11fa4e92135c4e773e81b3e407e3f1c2fd74d3d0582ace9351936b2dd96a8542360d8aa4483f997fc8 Homepage: https://github.com/ggml-org/ Description: Tensor library for machine learning (development files) This developments package provides the files required to build software based on ggml. 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Package: ggml-dev Architecture: arm64 Version: 0.0.1898-1 Priority: optional Section: libdevel Source: ggml Maintainer: Mathieu Baudier Installed-Size: 2212 Depends: libggml0 (= 0.0.1898-1), libggml-base0 (= 0.0.1898-1) Filename: ./ggml-dev_0.0.1898-1_arm64.deb Size: 501216 MD5sum: f913bc0d9fa1dc6a4a25d1d90f5a9596 SHA1: 3fddb422f386c6f2eb07b3d64bd7d9f322038944 SHA256: a0dab8165bfd97c9856549059b923050e624b3ccc628160c39db32147b0dd83c SHA512: 624a21ef6a8a18097fd489065599242f6efe3746027be182defcc61f70486c2ae0f1e8843eeef2961dc3e12853d1a4a6c2de5293488204d8016ba8121b3d9e1b Homepage: https://github.com/ggml-org/ Description: Tensor library for machine learning (development files) This developments package provides the files required to build software based on ggml. Package: ggml-dev Architecture: amd64 Version: 0.0.1982-1 Priority: optional Section: libdevel Source: ggml Maintainer: Mathieu Baudier Installed-Size: 2212 Depends: libggml0 (= 0.0.1982-1), libggml-base0 (= 0.0.1982-1) Filename: ./ggml-dev_0.0.1982-1_amd64.deb Size: 501588 MD5sum: fd2a7286ac6a171188e165aa88caedbf SHA1: 2fae11dea95db7909fdde036bbdf2492dccb7b92 SHA256: 2960843a013f2cf725124954d43c66f629b5067f03e7c2accf0cb94b8d9c6e6b SHA512: 2c9ffdb63375c599b8ef4df5cb8fa590e9eb749d0cdd47022c9bab90d6413ea42da64805bc62334badb957e2d1de3def68a8de15601fa5b7128330372960a927 Homepage: https://github.com/ggml-org/ Description: Tensor library for machine learning (development files) This developments package provides the files required to build software based on ggml. Package: ggml-dev Architecture: amd64 Version: 0.0.2015-1 Priority: optional Section: libdevel Source: ggml Maintainer: Mathieu Baudier Installed-Size: 2213 Depends: libggml0 (= 0.0.2015-1), libggml-base0 (= 0.0.2015-1) Filename: ./ggml-dev_0.0.2015-1_amd64.deb Size: 501524 MD5sum: 94195d117fe23178b1d071b28e2bb8ba SHA1: 0bc2e050691299f425f207c91ba74ba4db46898f SHA256: aa6ad30b263e4cca3a0645766cb228380bb877d21b977d2df8f13f06cf5f33ee SHA512: 3f4c1c895a64a61dc3701e78fde54e3c49718833751401d26a2572f600a4607ec9b7d13c5aef23ea2e492272d213e23b85d452dbf65cf86f4433aec4bfdf40ab Homepage: https://github.com/ggml-org/ Description: Tensor library for machine learning (development files) This developments package provides the files required to build software based on ggml. Package: ggml Architecture: amd64 Version: 0.0.1802-1 Priority: optional Section: science Maintainer: Mathieu Baudier Installed-Size: 10 Depends: libggml0, libggml-cpu Filename: ./ggml_0.0.1802-1_amd64.deb Size: 2904 MD5sum: b1388afdb9286185ed178218e8830015 SHA1: fad9518e3d80358ac69065e47b5ab77e32753a1e SHA256: 05aa74611760cab777f7c4eb905f80fc8fe26cce5ca074c26abcd68ed66c707c SHA512: a48b2b15fe55cf5652e436de95188f872e49ba5dd4b9acdedc5bee67a87fc8f3b32a567d2461e0f1e0acd9c4e9e2b3a7b45567122893a5a6823f1f80cc489b58 Homepage: https://github.com/ggml-org/ Description: Tensor library for machine learning (metapackage) ggml is a pure C/C++ library implementing tensor computations used by neural networks. It is the basis for llama.cpp (large language models) and whisper.cpp (speech recognition) but can be used indepedently. This metapackage provides the minimal set of dependencies so that the library can actually be usable, since the dynamically-loaded CPU backend is required for most usages. 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This metapackage provides the minimal set of dependencies so that the library can actually be usable, since the dynamically-loaded CPU backend is required for most usages. Additional backends can be installed additionally, typically to support specific computing hardware such as GPUs. Package: ggml Architecture: arm64 Version: 0.0.1898-1 Priority: optional Section: science Maintainer: Mathieu Baudier Installed-Size: 10 Depends: libggml0, libggml-cpu Filename: ./ggml_0.0.1898-1_arm64.deb Size: 2912 MD5sum: 62ce93b8e5150b5e13a78cc89b99bb1f SHA1: 1a8116ec60669f4ae5664e5888bf95be37cd824a SHA256: 346579b0edbdec9f23697d07f90e2800fe6ed11b9f3c90c1fcb6951ded1309ff SHA512: fb67513f7087b6508e50248b8ee26c8949412e5f80a415541c3d208f7be22fa27f966962b4415638b3c4c5eb3760500e48d101dc63efb0e550aa31fbaf15aadc Homepage: https://github.com/ggml-org/ Description: Tensor library for machine learning (metapackage) ggml is a pure C/C++ library implementing tensor computations used by neural networks. It is the basis for llama.cpp (large language models) and whisper.cpp (speech recognition) but can be used indepedently. This metapackage provides the minimal set of dependencies so that the library can actually be usable, since the dynamically-loaded CPU backend is required for most usages. Additional backends can be installed additionally, typically to support specific computing hardware such as GPUs. Package: ggml Architecture: amd64 Version: 0.0.1982-1 Priority: optional Section: science Maintainer: Mathieu Baudier Installed-Size: 10 Depends: libggml0, libggml-cpu Filename: ./ggml_0.0.1982-1_amd64.deb Size: 2916 MD5sum: 5f913b48e7258bb4ab829aa9b4c34f98 SHA1: 78b77ca366e2093065154538d0f70ba90ea080f2 SHA256: f994bd3296a9a9c9b482995a91083378d3d82143ee944bfc5c66efc0f7bb87f2 SHA512: 543b3194f621e734578d8b8cbfb1c2d5b6ba7403774729a04da393bff4c3fa302de5a8cd806e4db79de3fc25f2e1e2e7c527f614d98c2b38099ba6c24812ec62 Homepage: https://github.com/ggml-org/ Description: Tensor library for machine learning (metapackage) ggml is a pure C/C++ library implementing tensor computations used by neural networks. It is the basis for llama.cpp (large language models) and whisper.cpp (speech recognition) but can be used indepedently. This metapackage provides the minimal set of dependencies so that the library can actually be usable, since the dynamically-loaded CPU backend is required for most usages. Additional backends can be installed additionally, typically to support specific computing hardware such as GPUs. Package: ggml Architecture: amd64 Version: 0.0.2015-1 Priority: optional Section: science Maintainer: Mathieu Baudier Installed-Size: 10 Depends: libggml0, libggml-cpu Filename: ./ggml_0.0.2015-1_amd64.deb Size: 2916 MD5sum: b843f1cc247a6f0dc5ac8cef2d54ea18 SHA1: 1f39fc58777297cedb306e980502088fa59f8af4 SHA256: 7fbc98b48221b43f160fd12a87c40e59b0d2f35e7296873289434243edd89e70 SHA512: 6d88b514e66bfd62b8c5de6e9c9326998fd0b96cfd443d3316b70c11acd102284b248c5c50332cbfcad0bf4ffb8bb289ff2860a5f5f67da16ec19fad23ccba48 Homepage: https://github.com/ggml-org/ Description: Tensor library for machine learning (metapackage) ggml is a pure C/C++ library implementing tensor computations used by neural networks. It is the basis for llama.cpp (large language models) and whisper.cpp (speech recognition) but can be used indepedently. This metapackage provides the minimal set of dependencies so that the library can actually be usable, since the dynamically-loaded CPU backend is required for most usages. Additional backends can be installed additionally, typically to support specific computing hardware such as GPUs. 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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. 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Package: libggml-rpc Architecture: amd64 Version: 0.0.1898-1 Multi-Arch: same Priority: optional Section: science Source: ggml Maintainer: Mathieu Baudier Installed-Size: 92 Depends: libc6 (>= 2.38), libgcc-s1 (>= 3.0), libggml-base0 (>= 0.0.1898), libstdc++6 (>= 11), libggml0 Filename: ./libggml-rpc_0.0.1898-1_amd64.deb Size: 30796 MD5sum: fdbb3679919d7fa14e81f3b7fb59be98 SHA1: 72fa3c1f70b693ffb22a583f89b925a9dc95e52f SHA256: 05bd28684ac5090f8ee5e9eb03d4d1fb8699d27dc0d575037eeabbd4a71ab750 SHA512: 3e21204221810620c94d1bbcd8856a2c1a46816b64a8ff1693103cb35dc7f006d36ed694dfc51928a459fb03d1926112963713f9abea8c879e63c2cb11f16cd2 Homepage: https://github.com/ggml-org/ 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-rpc Architecture: arm64 Version: 0.0.1898-1 Multi-Arch: same Priority: optional Section: science Source: ggml Maintainer: Mathieu Baudier Installed-Size: 144 Depends: libc6 (>= 2.38), libgcc-s1 (>= 3.0), libggml-base0 (>= 0.0.1898), libstdc++6 (>= 11), libggml0 Filename: ./libggml-rpc_0.0.1898-1_arm64.deb Size: 27700 MD5sum: ba27715bd506d80bd730225f9f5529d1 SHA1: 881231a0062458711e618e4c6c3856def59d27fe SHA256: 86cc94438a46c809c9bc6e8a2724e5233a70e2288763dd8133b3535b12aecfe5 SHA512: 091111e271efc4cc764edf5f954548511f8ca84720b3b3394e0a66bae61d42d06ab9ea9d7923aaac82a161ace4525085095dc40ba8926422c1b6b1a838ba292a Homepage: https://github.com/ggml-org/ 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-rpc Architecture: amd64 Version: 0.0.1982-1 Multi-Arch: same Priority: optional Section: science Source: ggml Maintainer: Mathieu Baudier Installed-Size: 96 Depends: libc6 (>= 2.38), libgcc-s1 (>= 3.0), libggml-base0 (>= 0.0.1982), libstdc++6 (>= 11), libggml0 Filename: ./libggml-rpc_0.0.1982-1_amd64.deb Size: 31576 MD5sum: cd0f2e50243eb9099ab76d3e2dd6f900 SHA1: f08b13760abca30192bf41c8d645069104fd91e4 SHA256: abc70ab33d5b463887333c13e622a59837431735eb74c1f58e8a68d3a2842585 SHA512: 15d32103505ff65b51eae0b6d3131b070bfed9fff2ae302e1ec93b7ba1084c3894fa69752eae41d4e84db7f27bf09048d9bd156b1f962e48c35484425df9f6a6 Homepage: https://github.com/ggml-org/ 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-rpc Architecture: amd64 Version: 0.0.2015-1 Multi-Arch: same Priority: optional Section: science Source: ggml Maintainer: Mathieu Baudier Installed-Size: 100 Depends: libc6 (>= 2.38), libgcc-s1 (>= 3.0), libggml-base0 (>= 0.0.2015), libstdc++6 (>= 11), libggml0 Filename: ./libggml-rpc_0.0.2015-1_amd64.deb Size: 32368 MD5sum: 7232a489e38147bee1c3d7cbea2e3458 SHA1: 17e63b054b69f45035732cc022c12df1aaf2a899 SHA256: 3ea88106fe1affe37c4969ff8c092d036dbeb0e8fd7381c9c6300779e07842bf SHA512: d4a31fae0b908ba162de43483a53bc579a16016045e23e5413998c83eede2550462813c62ee67b4e343378630967663f90bfe9858569c4900655577a774f4dd4 Homepage: https://github.com/ggml-org/ Description: Tensor library for machine learning (RPC backend) The ggml RPC backend allows one to distribute computations over the network on remote ggml backends. 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This is typically used to leverage GPU parallel computations capabilities. 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Package: libggml0 Architecture: amd64 Version: 0.0.1898-1 Multi-Arch: same Priority: optional Section: libs Source: ggml Maintainer: Mathieu Baudier Installed-Size: 64 Depends: libc6 (>= 2.34), libgcc-s1 (>= 3.0), libggml-base0 (>= 0.0.1898), libstdc++6 (>= 9) Filename: ./libggml0_0.0.1898-1_amd64.deb Size: 17016 MD5sum: 2ffd1677ecb4349f0b0bc92187056643 SHA1: 930fbd14e1457dbb4777ecb510797e2d4ccd3bbf SHA256: 5141a89240b46399263cfd4eb9726fb47c76525920cdbad415b66c2d471acc3d SHA512: eb2b6ac963ee9bdecc98e9a70f774dc27859335fcb01292d1316c4c202ac7145d6aaf37d57520ad27922a61c6b4c985358711d544f2da57b8ff04aa48c200a66 Homepage: https://github.com/ggml-org/ 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: 0.0.1898-1 Multi-Arch: same Priority: optional Section: libs Source: ggml Maintainer: Mathieu Baudier Installed-Size: 84 Depends: libc6 (>= 2.34), libgcc-s1 (>= 3.0), libggml-base0 (>= 0.0.1898), libstdc++6 (>= 9) Filename: ./libggml0_0.0.1898-1_arm64.deb Size: 14716 MD5sum: 0cbb09c933f42a9334f8976b5f142afe SHA1: d440f9ac8cb73127c8bb19d3fc5ba11dc9540e99 SHA256: 4d724f72e98c7cca960fff99e10d29995ae705873935dca06d9a41422d8ffd13 SHA512: 4e3687b6a83c7e1fc6fab1c168e9b4ed965fbed06a7035f2e0c5c5223c239621ef668565c70678d9e9000d20b953972785f1c0f88514952f124f6d24b4b589b7 Homepage: https://github.com/ggml-org/ 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: amd64 Version: 0.0.1982-1 Multi-Arch: same Priority: optional Section: libs Source: ggml Maintainer: Mathieu Baudier Installed-Size: 64 Depends: libc6 (>= 2.34), libgcc-s1 (>= 3.0), libggml-base0 (>= 0.0.1982), libstdc++6 (>= 9) Filename: ./libggml0_0.0.1982-1_amd64.deb Size: 17016 MD5sum: 5b39fa4ad8e5f0ec73b99e1307163508 SHA1: 440d2d1bbfe9ffd0a332f36533aa3917d8b8a6a1 SHA256: 6c7a3cab57cc5b89fed2d5a2381fb63128b3dda094635ee3785f44fa3377a17b SHA512: 2295511e7255d2dea8ab1574d9a02f4a86313925b15b577c09fe70b9adc39a320c71a1f6509c0d760ebdc30071f08c257179b2d33003e89bcf5d2216a78cddbe Homepage: https://github.com/ggml-org/ 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: amd64 Version: 0.0.2015-1 Multi-Arch: same Priority: optional Section: libs Source: ggml Maintainer: Mathieu Baudier Installed-Size: 64 Depends: libc6 (>= 2.34), libgcc-s1 (>= 3.0), libggml-base0 (>= 0.0.2015), libstdc++6 (>= 9) Filename: ./libggml0_0.0.2015-1_amd64.deb Size: 16992 MD5sum: c3640efea4d1a073e6b5f143f30fb06c SHA1: 2d7ac575596aa2deb7a75fa7ea69e88bdfc09327 SHA256: 5211e27920a969654734668ee928ab9c9c9f74c3548e8d03a87a2912de640651 SHA512: 09934aaaecec8074d5a5ef94ff3a203dd9fddfa4e083088701b4b04dcc6174e019ceaf1a938dd5875b7c31506f00bf25c080dde672b7f03a46b65647f5956905 Homepage: https://github.com/ggml-org/ 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. 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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. 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Package: whisper-cpp-cli Architecture: amd64 Version: 1.7.5+170-1 Priority: optional Section: science Source: whisper-cpp Maintainer: Mathieu Baudier Installed-Size: 856 Depends: libc6 (>= 2.38), libgcc-s1 (>= 3.0), libggml0 (>= 0.0.2015), libstdc++6 (>= 11), libwhisper1 (>= 1.7.5+170) Filename: ./whisper-cpp-cli_1.7.5+170-1_amd64.deb Size: 314940 MD5sum: 83e5015018c7ddb205780d54cb50c3c0 SHA1: 27e2d89e34437b7cd3062761cda629afdee5d1c2 SHA256: ecc4372bb19a8e23bc03742d7bf4abdf389b3191eb67ce9c58be9ac99c66b9c5 SHA512: bbfa86fcf6d9f1fd3ef32dfd057d0755482cbd12d5b74a10af987f93193c625f357262bf65cdd2fa09e0fa4b902531a124486a5bc10fee67948ce7e37e8e2ee3 Homepage: https://github.com/ggerganov/whisper.cpp Description: Inference of Whisper in pure C/C++ (CLI) A versatile tool giving command line access to most whisper-cpp capabilities. 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The SDL sound input (typically a microphone) is transcribed as text to the standard output. Package: whisper-cpp-stream Architecture: amd64 Version: 1.7.5+105-1 Priority: optional Section: science Source: whisper-cpp Maintainer: Mathieu Baudier Installed-Size: 780 Depends: libc6 (>= 2.38), libgcc-s1 (>= 3.0), libsdl2-2.0-0 (>= 2.0.12), libstdc++6 (>= 11), libwhisper1 (>= 1.7.5+105) Filename: ./whisper-cpp-stream_1.7.5+105-1_amd64.deb Size: 289876 MD5sum: 7195b180f207769bf5c6bdcc94e3b032 SHA1: fdb84912d6165c39ec68740bd571a26d4304beca SHA256: a7ae9a6dc3a77c2ac978db7cd0448beb675876d61c6b50795ee3858187746e8e SHA512: 3f08dd691942f7c7feb7083f3b4190f986d18b54e794504809e0d92ac3beb15e3fe8052735ea7cbf06888df0feb2cf4f3c5e33175df43d5b08877179be248979 Homepage: https://github.com/ggerganov/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: amd64 Version: 1.7.5+170-1 Priority: optional Section: science Source: whisper-cpp Maintainer: Mathieu Baudier Installed-Size: 780 Depends: libc6 (>= 2.38), libgcc-s1 (>= 3.0), libsdl2-2.0-0 (>= 2.0.12), libstdc++6 (>= 11), libwhisper1 (>= 1.7.5+170) Filename: ./whisper-cpp-stream_1.7.5+170-1_amd64.deb Size: 289680 MD5sum: 4d8ebcd54008e0dbf4075bfc7960797b SHA1: 8327913c5ec046abd60858adda9e378aa80fd3c9 SHA256: aae75455f8ce33854a54d2b470e170f4bf571eb6a89bab6b9e944b8d1bd8b862 SHA512: 18c3c9f80997b86876eb41412f054d1f64286050e52e8af8f1538588788c49b3056db5ef83f1f5f5d16a4d08e340b4899007a2d08e41af5350d4654df0d66fd0 Homepage: https://github.com/ggerganov/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: amd64 Version: 1.7.5-1 Priority: optional Section: science Source: whisper-cpp Maintainer: Mathieu Baudier Installed-Size: 780 Depends: libc6 (>= 2.38), libgcc-s1 (>= 3.0), libsdl2-2.0-0 (>= 2.0.12), libstdc++6 (>= 11), libwhisper1 (>= 1.7.5) Filename: ./whisper-cpp-stream_1.7.5-1_amd64.deb Size: 289672 MD5sum: 03ee6e4c99753ec558043406d678abb4 SHA1: a73bb479d1d2a166b6898d154f13cc5e602d86cc SHA256: 8b15f5cc914ee6880c286fbe34fe5db450351f3e4b065abac0cef78c7743d862 SHA512: 2b7067722265443b65273537806a4a1b924861c3e6f89d2f85560f273092e84e897f42ae7278c46dba9ba085d56a654e45bf66b2da23ccfa11a4b4bc0ab4ce50 Homepage: https://github.com/ggerganov/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: 1.7.5-1 Priority: optional Section: science Source: whisper-cpp Maintainer: Mathieu Baudier Installed-Size: 787 Depends: libc6 (>= 2.38), libgcc-s1 (>= 3.0), libsdl2-2.0-0 (>= 2.0.12), libstdc++6 (>= 11), libwhisper1 (>= 1.7.5) Filename: ./whisper-cpp-stream_1.7.5-1_arm64.deb Size: 269184 MD5sum: cfba743b61c155546e59382810d52d66 SHA1: a55cf807a0e704b5b49c010b12d8d580758cf01a SHA256: 8835594faccdc60915ce4e29b3981eeeb8239fb06c3f3f13b1c563d03790b6cc SHA512: 22985162ea0ca5627621f986c77d2d2b139db9b72184d7971855e3b2f1f3154e3bd65b2177d7fa34a883e8518b242040b824a45a4308d1c71d328ae48fd3cc8c Homepage: https://github.com/ggerganov/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 Architecture: amd64 Version: 1.7.4+203-1 Auto-Built-Package: debug-symbols Priority: optional Section: debug Source: whisper-cpp Maintainer: Mathieu Baudier Installed-Size: 2726 Depends: whisper-cpp-talk-llama (= 1.7.4+203-1) Filename: ./whisper-cpp-talk-llama-dbgsym_1.7.4+203-1_amd64.deb Size: 2554180 MD5sum: 67cb18f9916c5325a3bd876233ca179f SHA1: b80e69a7e4b8004cf17f532a2fae69c67899bde7 SHA256: 5f762180ba57fbab1aad195aa4fc802a0f34fa7a97492b31ffc46476e3211459 SHA512: ccadbe4a27af8e051e88f1d8c3cdaad71b42524334ae510e98c1037d71ec1724051eb4087892fba33004fac2942bafc2a2390ed838fab032fef39f10813c3193 Description: debug symbols for whisper-cpp-talk-llama Build-Ids: 5be504cab7473e15566a98cab8d7c88c8b6053ca Package: whisper-cpp-talk-llama-dbgsym Architecture: amd64 Version: 1.7.5+105-1 Auto-Built-Package: debug-symbols Priority: optional Section: debug Source: whisper-cpp Maintainer: Mathieu Baudier Installed-Size: 2696 Depends: whisper-cpp-talk-llama (= 1.7.5+105-1) Filename: ./whisper-cpp-talk-llama-dbgsym_1.7.5+105-1_amd64.deb Size: 2526020 MD5sum: a4ac8c964f2349fa44fbf1a0c3101f4d SHA1: c68b14edb8a36b6c2050cb9a042e7f8157d40b1d SHA256: 6ef6fcf6d6f139625a31762e925d1ea8d2b5fe14f379f5af733c26f9d811be70 SHA512: cf1de75c28965e1f4ab25fa1dc4b56fda5d4b08b2382893ce6e6eab82be24730eb79dffd15f119f8e1d25b6cebb255c47daa99d006b11d70593ea59a3b0d28e9 Description: debug symbols for whisper-cpp-talk-llama Build-Ids: ccd8b3171a7c4367b1e71e6f93a2278af470e1a3 Package: whisper-cpp-talk-llama-dbgsym Architecture: amd64 Version: 1.7.5+170-1 Auto-Built-Package: debug-symbols Priority: optional Section: debug Source: whisper-cpp Maintainer: Mathieu Baudier Installed-Size: 2696 Depends: whisper-cpp-talk-llama (= 1.7.5+170-1) Filename: ./whisper-cpp-talk-llama-dbgsym_1.7.5+170-1_amd64.deb Size: 2526140 MD5sum: 3315e543d584500096d508955bed5bff SHA1: be06e10b48dbd40eaf10e92ce582d11b4e51c106 SHA256: ce7e09561890bb859b57bd2f24bd821aa55acec5f774cb5840e284bb330bfdcb SHA512: ffa0fee356c06a752fc09a205693ed780f2e7e442e5d951600d7ee92f39c33d869a3d8a52143f80b3122612713ac3e2a90fc90dad5554c35a4a5a2b3f7bb2fdf Description: debug symbols for whisper-cpp-talk-llama Build-Ids: 5bee69ab14ec68c0ace11be978e1bf7421ae13f6 Package: whisper-cpp-talk-llama-dbgsym Architecture: amd64 Version: 1.7.5-1 Auto-Built-Package: debug-symbols Priority: optional Section: debug Source: whisper-cpp Maintainer: Mathieu Baudier Installed-Size: 2696 Depends: whisper-cpp-talk-llama (= 1.7.5-1) Filename: ./whisper-cpp-talk-llama-dbgsym_1.7.5-1_amd64.deb Size: 2525896 MD5sum: 0e717bba8561754aedec2fadd079f1ed SHA1: e1e2cde1433fe72deacd1c6f1c8b4018b66246c0 SHA256: 83a48246faed2b833f7fb1da18955b234131613512870e521a5f0983f007bd40 SHA512: b4b1da18f72d0e1e6d30acd6144b4a8ccee7c0d9d33b00b2b430108539fd98f038104e6abf6323e5cd36983e25314403b92ae4c3cf2bc101d52f4e01ca67eeb5 Description: debug symbols for whisper-cpp-talk-llama Build-Ids: d34f7790c9873d2eec33f35bc3d9bd8506d954b4 Package: whisper-cpp-talk-llama-dbgsym Architecture: arm64 Version: 1.7.5-1 Auto-Built-Package: debug-symbols Priority: optional Section: debug Source: whisper-cpp Maintainer: Mathieu Baudier Installed-Size: 3300 Depends: whisper-cpp-talk-llama (= 1.7.5-1) Filename: ./whisper-cpp-talk-llama-dbgsym_1.7.5-1_arm64.deb Size: 2487616 MD5sum: db9dfc1bcfbbaf03f579d2133f1106e2 SHA1: d99c21c1397d4a38001ba5ce02ac82bcefae037a SHA256: 4739ec362c49ed2e927f5fe114e65dce05bb2701fef71b6c359b62dcf146c626 SHA512: 99ee1f84297adc98bfc78f7fc1b6c9f7dded81266e9d07875c6ee57f6d9ec6697758ccf4813eedeceab283be53aa85050893fa771dd12d8aa86db26074e40b7c Description: debug symbols for whisper-cpp-talk-llama Build-Ids: 459b8def1e1a829da79b55b4cbe14a45228831fa Package: whisper-cpp-talk-llama Architecture: amd64 Version: 1.7.4+203-1 Priority: optional Section: science Source: whisper-cpp Maintainer: Mathieu Baudier Installed-Size: 825 Depends: libc6 (>= 2.38), libgcc-s1 (>= 3.0), libggml-base0 (>= 0.0.1802), libggml0 (>= 0.0.1802), libllama0 (>= 0.0.4853), libsdl2-2.0-0 (>= 2.0.12), libstdc++6 (>= 11), libwhisper1 (>= 1.7.4+203), espeak-ng, libswresample4, libavcodec59, libavformat59 Filename: ./whisper-cpp-talk-llama_1.7.4+203-1_amd64.deb Size: 302308 MD5sum: ce5079820b4e482be4756697bfce40f6 SHA1: 821c134f5bf5dd0091ef55deb7d7f9318212ef04 SHA256: c548d8948b2fe2202b7ea31f598709418a0d4f699bf4f91ca894456cb7d9d532 SHA512: 55ccca28265997b40832615d28d4856768d0d96446039b0268364b315a7d1d071efd715a7ffe45f8d79d60f9bc4b0730eae5f20a35bcea5aea334384c08be7e4 Homepage: https://github.com/ggerganov/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: amd64 Version: 1.7.5+105-1 Priority: optional Section: science Source: whisper-cpp Maintainer: Mathieu Baudier Installed-Size: 817 Depends: libc6 (>= 2.38), libgcc-s1 (>= 3.0), libggml-base0 (>= 0.0.1982), libggml0 (>= 0.0.1982), libllama0 (>= 0.0.5185), libsdl2-2.0-0 (>= 2.0.12), libstdc++6 (>= 11), libwhisper1 (>= 1.7.5+105), espeak-ng, libswresample4, libavcodec59, libavformat59 Filename: ./whisper-cpp-talk-llama_1.7.5+105-1_amd64.deb Size: 300316 MD5sum: ac920e97d847643f55e5c6cf6ba13738 SHA1: b5103f4674afec1a94e63bc652a56bcfbd100bb4 SHA256: d8ae4cd7ab5b30c2b022b8bf0b9a5eb2e870a83bc00f34e7caf069eb39574a51 SHA512: 5bf7932255dfa8e3546ff7a91157ee388e4f75e3dec2b827c92224cddd03552419c0beb29d7e4b8558c8f6f1dc2fcefb0247af11c56c3a7ef3f9a3c893406b38 Homepage: https://github.com/ggerganov/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: amd64 Version: 1.7.5+170-1 Priority: optional Section: science Source: whisper-cpp Maintainer: Mathieu Baudier Installed-Size: 817 Depends: libc6 (>= 2.38), libgcc-s1 (>= 3.0), libggml-base0 (>= 0.0.2015), libggml0 (>= 0.0.2015), libllama0 (>= 0.0.5318), libsdl2-2.0-0 (>= 2.0.12), libstdc++6 (>= 11), libwhisper1 (>= 1.7.5+170), espeak-ng, libswresample4, libavcodec59, libavformat59 Filename: ./whisper-cpp-talk-llama_1.7.5+170-1_amd64.deb Size: 300432 MD5sum: e5243aabbc8010447edc07d4f11b696f SHA1: 4860a31e2bb95cda6a56fd1028f2c8eca82e06d2 SHA256: 6d0847d77cc1e3ddb2aaf2bee839ea57ff972cdcfd5c9603430debea3122f5b2 SHA512: 8185bf7d9044268293a5b5e7277be65334bec9f925766f9cfc90aa828a18ac2fcea941cf6b2f9091cc7ab3f155ce170e6a060ad926fdaf1ac82f2488dc164e50 Homepage: https://github.com/ggerganov/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: amd64 Version: 1.7.5-1 Priority: optional Section: science Source: whisper-cpp Maintainer: Mathieu Baudier Installed-Size: 817 Depends: libc6 (>= 2.38), libgcc-s1 (>= 3.0), libggml-base0 (>= 0.0.1898), libggml0 (>= 0.0.1898), libllama0 (>= 0.0.5028), libsdl2-2.0-0 (>= 2.0.12), libstdc++6 (>= 11), libwhisper1 (>= 1.7.5), espeak-ng, libswresample4, libavcodec59, libavformat59 Filename: ./whisper-cpp-talk-llama_1.7.5-1_amd64.deb Size: 300544 MD5sum: 03c1cd3438d8c255faaa6fd680d372b9 SHA1: 03fbc6090371e20127bba2b928aa30807fb8178d SHA256: 9e9988c95704b44594e08eacc37e202d8ccca3ded601e909d2653fd8da918cdc SHA512: e9f10b40cbac19945534f5a8d14ade97606ae6ef5cee05920d74f555ac262996a31f92ec8919b2bbe79e220adeb7132305fc666ab4d71b4946b618eef60fa551 Homepage: https://github.com/ggerganov/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: 1.7.5-1 Priority: optional Section: science Source: whisper-cpp Maintainer: Mathieu Baudier Installed-Size: 788 Depends: libc6 (>= 2.38), libgcc-s1 (>= 3.0), libggml-base0 (>= 0.0.1898), libggml0 (>= 0.0.1898), libllama0 (>= 0.0.5028), libsdl2-2.0-0 (>= 2.0.12), libstdc++6 (>= 11), libwhisper1 (>= 1.7.5), espeak-ng, libswresample4, libavcodec59, libavformat59 Filename: ./whisper-cpp-talk-llama_1.7.5-1_arm64.deb Size: 278372 MD5sum: c7f5e6b939b5cba4a4cf42254c804afe SHA1: 6654c62c2df4159a18e5da3bd2e43a33363fc10a SHA256: 8587a17f37b8c9b3dd504de307388cd62d4ca687284454339e5e49076642d25f SHA512: 314d5c847b1f56a07f9f6a2bbf7c67a1ef7b07232865e27d8431a5a8b8e6f95f6456634a912d4409e2f1e59512876abd3ee453ad65a0ec5d0318fecf175e95c4 Homepage: https://github.com/ggerganov/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.