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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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Architectural Shovel / Любовь Дмитриева

@arch_shovel · Post #609 · 08/29/2022, 08:55 PM

Flexibility has become more important to people today than sheer size. With the design for Van B UnStudio introduce new ways to make the footprint of an apartment more flexible — challenging old conventions of square footage and fixed footprints. The architectural strategy was to devise as many different ways as possible to reconfigure an apartment. To achieve this, architects designed a ‘plugin-based’ system that allows homeowners to use the space in a 40m2 apartment almost as if it were a 60m2 loft. This allows you to easily change the use of the same floor space in a matter of seconds, making it possible to transform a room from a generous office into a cozy living room, or a bedroom. Renders: Bauwerk / bloomimages #unstudio#housing#modularhousing#modularity#flexibility#inclusivedesign#germandesgin#sustainability#greenarchitecture#arch_shovel