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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 #15171 · 09/27/2025, 11:30 AM

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#ruby#backup#network#nms#rancid Oxidized is a free tool that automatically backs up network device configurations from over 130 device types, replacing older tools like RANCID. It runs efficiently by adjusting how many tasks it uses based on your setup and offers a web API to manage backups and see changes. It can track who made changes using syslog and integrates with Git to show detailed version history. You can install it on many systems, configure it easily with YAML files, and use various sources and outputs for flexibility. This helps you keep your network device settings safe, organized, and easy to review or restore when needed. https://github.com/ytti/oxidized

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