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Source channel @githubtrending · Post #15366 · Dec 25

#rust#async#framework#http_server#rust#salvo#web Salvo is a simple yet powerful Rust web framework that gives you fast, modern servers (HTTP/1–3, WebSocket/WebTransport) with minimal Rust knowledge required, built on Hyper and Tokio. It uses a unified handler/middleware model, an infinitely nestable, chainable router for clear public/private route grouping, built-in multipart/file upload and data extraction, automatic OpenAPI generation, ACME TLS support, and a CLI to scaffold projects—so you can prototype and deploy secure, high-performance backends quickly with less boilerplate and easier routing, testing, and API documentation. https://github.com/salvo-rs/salvo

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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