Brunobkr/llama.cpp_AlgMor24_github
ΩFFFΣLLIa • llama.cpp • AlgMor24 ██████╗ ███████╗███████╗███████╗██╗ ██╗ ██╗ █████╗ ██╔═══██╗██╔════╝██╔════╝██╔════╝██║ ██║ ██║██╔══██╗ ██║ ██║█████╗ █████╗ █████╗ ██║ ██║ ██║███████║ ██║ ██║██╔══╝ ██╔══╝ ██╔══╝ ██║ ██║ ██║██╔══██║ ╚██████╔╝██║ ██║ ███████╗███████╗███████╗██║██║ ██║ ╚═════╝ ╚═╝ ╚═╝ ╚══════╝╚══════╝╚══════╝╚═╝╚═╝ ╚═╝ High-Performance LLM / VLM Inference & Autonomous Agentic Ecosystem… See the full description on the dataset page: https://huggingface.co/datasets/Brunobkr/llama.cpp_AlgMor24_github.
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1### How to generate new metrics2-------------------------------3 4There are several requirements for generating the metrics used by KaTeX.5 6- You need to have an installation of TeX which supports kpathsea. You can check7 this by running `tex --version`, and seeing if it has a line that looks like8 > kpathsea version 6.2.09 10- You need the Perl module `JSON`. You can install this either from CPAN11 (e.g. using the `cpan` command line tool: `cpan install JSON`)12 or with your package manager.13 14- You need the Python module `fonttools`. You can install this either from PyPI15 (using `easy_install` or `pip`: `pip install fonttools`)16 or with your package manager.17 18Once you have these things, run the following command from the root directory:19 20 sh ./dockers/fonts/buildMetrics.sh21 22which should generate new metrics and place them into `fontMetricsData.json`.23You're done!24 