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Source channel @githubtrending · Post #15182 · Sep 30

#typescript#accessibility#cross_platform#speech_to_text#tauri_v2 Handy is a free, open-source speech-to-text app that works offline on Windows, macOS, and Linux. You press a shortcut, speak, and your words appear in any text field without sending your voice to the cloud, keeping your data private. It uses advanced models like Whisper and Parakeet for accurate transcription and supports GPU acceleration or CPU-only modes. Handy is simple, privacy-focused, and customizable, making it ideal if you want a secure, extensible tool for converting speech to text without relying on internet services. This helps you type hands-free while protecting your privacy and controlling your data. https://github.com/cjpais/Handy

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@githubtrending · Post #15600 · 04/04/2026, 11:30 AM

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#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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#python #apple_silicon #florence2 #idefics #llava #llm #local_ai #mlx #molmo #paligemma #pixtral #vision_framework #vision_language_model #vision_transformer