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Source channel @githubtrending · Post #15120 · Sep 5

#shell#cloudflare#grpc_cloudflare#httpupgrade#hysteria2#nginx#reality#reality_grpc#shell#sing_box#trojan#trojan_grpc#tuic_v5#v2ray#vless#vmess#websockettlscdn_cloudflare_ip#xray#xray_core#xray_install#xtls_rprx_vision v2ray-agent is a tool that helps you quickly install and manage proxy servers using popular cores like Xray-core and sing-box. It supports many protocols such as VLESS, VMess, Trojan, and more, and automatically handles SSL certificates for secure connections. You can easily manage users, ports, and subscriptions through a simple menu. It also offers features like traffic routing, domain blocking, and P2P download control, which can help you unblock streaming services and control internet access. Installation is simple with a one-command script, making it convenient to set up and maintain your proxy server securely and efficiently. https://github.com/mack-a/v2ray-agent

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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