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Source channel @githubtrending · Post #14809 · Jun 8

#ruby#beginners#hacktoberfest#hacktoberfest2020#helm#kubernetes#kubetools Kubernetes is a powerful tool for managing containerized applications. To learn Kubernetes, you can use platforms like Kubelabs, which offer interactive tutorials and labs. These resources help you understand Kubernetes concepts from the basics to advanced levels. By using these platforms, you can practice deploying applications, managing resources, and ensuring high availability and scalability. This hands-on approach helps you gain practical experience and improve your skills in managing complex applications efficiently. https://github.com/collabnix/kubelabs

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@githubtrending · Post #15600 · 04/04/2026, 11:30 AM

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#python#apple_silicon#florence2#idefics#llava#llm#local_ai#mlx#molmo#paligemma#pixtral#vision_framework#vision_language_model#vision_transformer MLX-VLM lets you run, chat with, and fine-tune Vision Language Models (VLMs) plus audio/video models on your Mac using MLX—install easily with `pip install -U mlx-vlm`. Use CLI for quick text/image/audio generation (e.g., `mlx_vlm.generate --model ... --image photo.jpg`), Gradio UI for chats, Python scripts, or a FastAPI server with OpenAI-compatible endpoints supporting multi-images/videos. Features like TurboQuant cut KV cache memory by 76%, and LoRA/QLoRA fine-tuning works on consumer hardware. You benefit by experimenting with powerful multimodal AI locally—fast, memory-efficient, no cloud costs, perfect for Mac users tweaking models affordably. https://github.com/Blaizzy/mlx-vlm

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#python #apple_silicon #florence2 #idefics #llava #llm #local_ai #mlx #molmo #paligemma #pixtral #vision_framework #vision_language_model #vision_transformer