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Source channel @githubtrending · Post #14742 · May 23

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#shell Claude Code is a smart coding assistant that works right in your terminal, helping you write, fix, and understand code using simple English commands. It can edit files, answer questions about your code, run and fix tests, and handle git tasks like commits and pull requests, making your work faster and easier. You install it with npm, log in with your account, and start using it in your project. It keeps your data safe by not using your feedback to train models and by storing sensitive information for only a short time, so you can code with confidence and privacy[2][5]. https://github.com/anthropics/claude-code

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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