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Source channel @githubtrending · Post #15600 · Apr 4

#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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Libreware

@libreware · Post #894 · 02/04/2021, 06:15 PM

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PCAPdroid Capture traffic on Android devices and send the PCAP via UDP without root PCAPdroid lets you capture the Android traffic and analyze it remotely (e.g. via Wireshark). The traffic can be easily captured on a remote PC via an UDP socket. 💡 Features: ✅ Capture apps traffic without root privileges ✅ Send captured traffic via UDP ✅ Download the traffic PCAP via the integrated HTTP server ✅ Show captured traffic real time statistics ✅ Apply a filter to only capture traffic for the selected app ✅ Decrypt HTTPS/TLS traffic via a remote mitmproxy https://f-droid.org/packages/com.emanuelef.remote_capture/ #PCAPdroid#android#fdroid#app

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