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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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English Speakers

@English_Speakers · Post #5139 · 12/23/2022, 04:46 PM

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#converisation #Beginner #Daily_life @English_speakers ⚜➖⚜➖⚜➖⚜➖⚜➖ A: I’m going to take a nap. B: You should unplug the phone. A: That’s a good idea. B: Do you want me to wake you in an hour? A: No, thanks. Just let me sleep until I wake up. B: I’ll start dinner at 6:00. A: Okay. I think I’ll be awake by then. B: If not, your nose will wake you up. A: You mean I will smell the food cooking? B: You might even dream about dinner A: I don’t think I’m going to dream about anything. I’m really tired. B: Have a nice nap. Listen and practice 👇

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