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Source channel @githubtrending · Post #15143 · Sep 14

#python#llms#mlx MLX LM is a Python tool that helps you run and fine-tune large language models (LLMs) efficiently on Apple Silicon Macs. It connects easily to thousands of models on Hugging Face, supports model quantization to save memory, and allows distributed training. You can generate text or chat with models via simple commands or Python code. It also offers features like prompt caching and memory optimization for handling long texts, making it faster and less resource-heavy. This means you can run powerful AI models locally on your Mac without needing expensive cloud services, saving cost and improving speed. https://github.com/ml-explore/mlx-lm

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@githubtrending · Post #15412 · 01/14/2026, 04:30 PM

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#jinja#ansible#ansible_collection#collection#devsec#hacktoberfest#hardening#linux#mysql_hardening#nginx#nginx_hardening#os_hardening#playbook#protection#role#ssh_hardening#sysctl devsec.hardening is an Ansible collection that battle-tests security hardening for Linux (CentOS, AlmaLinux, Rocky, Debian, Ubuntu, etc.), MySQL, Nginx, and SSH, matching DevSec Inspec baselines. Install via `ansible-galaxy collection install devsec.hardening` and apply roles like os_hardening easily. It saves you time by automating secure configs across servers, cuts manual work, boosts compliance, and shrinks attack surfaces for safer systems. https://github.com/dev-sec/ansible-collection-hardening

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#jinja #ansible #ansible_collection #collection #devsec #hacktoberfest #hardening #linux #mysql_hardening #nginx #nginx_hardening #os_hardening #playbook #protection #role #ssh_hardening #sysctl