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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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Marwa Osman/MidEaStream

@Marwa_OsmanLB · Post #4170 · 03/17/2025, 12:02 PM

Yemeni Media reported that approximately 40 U.S. airstrikes targeting the capital, #Sanaa, as well as Saada and Al-Bayda, have resulted in an initial toll of 32 dead and over 100 wounded, the majority of whom are women and children. The strikes are expected to continue for weeks. Four airstrikes hit the Al-Jeraf neighborhood in northern Sanaa, killing ten people and injuring 13 others. Additional strikes targeted the Attan and Jarban areas in the Sanhan district of Sanaa province. In #Saada, reports indicate that airstrikes on two homes in the Qahza area, north of the city, led to a rising casualty count of ten dead and 13 wounded. Meanwhile, the U.S. Central Command (#CENTCOM) confirmed that it had carried out a series of airstrikes against "Ansarullah" targets across #Yemen. CENTCOM stated that the operations involved precision strikes, justifying them as measures to defend U.S. interests, deter adversaries, and restore freedom of maritime navigation. #RedSea#DonaldTrump