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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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Libertà è ragione

@libertaeragione · Post #4303 · 11/25/2024, 02:34 PM

#Elezioni#Romania#Presidenziali Risultati definitivi: Affluenza: 52,55% Călin #Georgescu: 22,94% Elena #Lasconi (#USR|RE): 19,18% Marcel #Ciolacu (#PSD|S&D): 19,15% George #Simion (#AUR|ECR): 13,86% Nicolae #Ciucă (#PNL|EPP) 8,79% Mircea #Geoană (supp. #MRR)|Centristi nazionalisti|G/EFA: 6,32% Hunor #Kelemen (#UDMR|EPP): 4,51% Cristian #Diaconescu: 3,1% Cristian #Terheș (#PNCR|ECR): 1,04% Ana #Birchall: 0,46% Ludovic #Orban (#FD|Centro-destra populista): 0,22% Sebastian #Popescu (#PNR|Populisti): 0,16% Alexandra #Păcuraru (#ADN|Centro-sinistra): 0,16% Silviu #Predoiu (#PLAN|Centro): 0,12% In foto, la mappa del voto, by @tuttoelezioni. Necessario un secondo turno tra Georgescu e Lasconi. @OsservatorioEsteri