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Package: ggml Version: 0.0.2015-1 Architecture: amd64 Maintainer: Mathieu Baudier Installed-Size: 10 Depends: libggml0, libggml-cpu Filename: ./pool/bookworm/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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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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