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Package: ggml Version: 0.0.1898-1 Architecture: amd64 Maintainer: Mathieu Baudier Installed-Size: 10 Depends: libggml0, libggml-cpu Filename: ./pool/sid/ml/1.1/ggml_0.0.1898-1_amd64.deb Size: 2916 SHA256: 9b673be56671dc276c6353635c354cb8a9bcf15ef43f9fbf4e7d9e4629f44a06 Section: science Priority: optional 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 Version: 0.0.1982-1 Architecture: amd64 Maintainer: Mathieu Baudier Installed-Size: 10 Depends: libggml0, libggml-cpu Filename: ./pool/sid/ml/1.1/ggml_0.0.1982-1_amd64.deb Size: 2916 SHA256: f994bd3296a9a9c9b482995a91083378d3d82143ee944bfc5c66efc0f7bb87f2 Section: science Priority: optional 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 Version: 0.0.2015-1 Architecture: amd64 Maintainer: Mathieu Baudier Installed-Size: 10 Depends: libggml0, libggml-cpu Filename: ./pool/sid/ml/1.1/ggml_0.0.2015-1_amd64.deb Size: 2916 SHA256: 7fbc98b48221b43f160fd12a87c40e59b0d2f35e7296873289434243edd89e70 Section: science Priority: optional 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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Package: ggml-dev Source: ggml Version: 0.0.1898-1 Architecture: amd64 Maintainer: Mathieu Baudier Installed-Size: 2212 Depends: libggml0 (= 0.0.1898-1), libggml-base0 (= 0.0.1898-1) Filename: ./pool/sid/ml/1.1/ggml-dev_0.0.1898-1_amd64.deb Size: 501192 SHA256: 2f05f3f0e8676ee2a23d16c7be82fc5b8cade9523e286f51d2a334a6165a4e73 Section: libdevel Priority: optional 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: libggml0 Source: ggml Version: 0.0.1898-1 Architecture: amd64 Maintainer: Mathieu Baudier Installed-Size: 64 Depends: libc6 (>= 2.34), libgcc-s1 (>= 3.0), libggml-base0 (>= 0.0.1898), libstdc++6 (>= 9) Filename: ./pool/sid/ml/1.1/libggml0_0.0.1898-1_amd64.deb Size: 17016 SHA256: 5141a89240b46399263cfd4eb9726fb47c76525920cdbad415b66c2d471acc3d Section: libs Priority: optional Multi-Arch: same 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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Package: libggml0 Source: ggml Version: 0.0.2015-1 Architecture: amd64 Maintainer: Mathieu Baudier Installed-Size: 64 Depends: libc6 (>= 2.34), libgcc-s1 (>= 3.0), libggml-base0 (>= 0.0.2015), libstdc++6 (>= 9) Filename: ./pool/sid/ml/1.1/libggml0_0.0.2015-1_amd64.deb Size: 16992 SHA256: 5211e27920a969654734668ee928ab9c9c9f74c3548e8d03a87a2912de640651 Section: libs Priority: optional Multi-Arch: same 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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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 Source: llama-cpp Version: 0.0.5318-1 Architecture: amd64 Maintainer: Mathieu Baudier Installed-Size: 2378 Depends: libc6 (>= 2.38), libcurl4t64 (>= 7.16.2), libgcc-s1 (>= 3.0), libggml-base0 (>= 0.0.2015), libggml0 (>= 0.0.2015), libllama0 (>= 0.0.5318), libstdc++6 (>= 14), ggml, curl Filename: ./pool/sid/ml/1.1/llama-cpp-tools_0.0.5318-1_amd64.deb Size: 666132 SHA256: e538b72c87b4b7e3f30f7954c9b55078fd055448890408f4aaaa8db2158f7c80 Section: science Priority: optional 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. 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Package: whisper-cpp-talk-llama Source: whisper-cpp Version: 1.7.5+170-1 Architecture: amd64 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: ./pool/sid/ml/1.1/whisper-cpp-talk-llama_1.7.5+170-1_amd64.deb Size: 300432 SHA256: 6d0847d77cc1e3ddb2aaf2bee839ea57ff972cdcfd5c9603430debea3122f5b2 Section: science Priority: optional 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 Source: whisper-cpp Version: 1.7.5-1 Architecture: amd64 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: ./pool/sid/ml/1.1/whisper-cpp-talk-llama_1.7.5-1_amd64.deb Size: 300544 SHA256: 9e9988c95704b44594e08eacc37e202d8ccca3ded601e909d2653fd8da918cdc Section: science Priority: optional 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. 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