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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 #1583 · 05/04/2026, 03:28 PM

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FaceTime Without the Internet | Data Slayer FaceTiming without Apple... I tested whether consumer apps like FaceTime, Signal, WhatsApp, and Zoom work on an off-grid #HaLow#mesh#network with zero internet. The key discovery: FaceTime and Signal connect peer-to-peer if they can find each other on any local network — Apple's servers aren't in the loop. The climax was a two-car highway test where Emilia and I held a FaceTime call at 70 mph, bridged only by Haven nodes and sub-gigahertz antennas. The conclusion: the "loophole" isn't a hack — it's the original peer-to-peer design we forgot about once we handed the internet to five companies. #MeshNetwork#OffGrid#P2P

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#halow #mesh #network #meshnetwork #offgrid #p2p