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Source channel @githubtrending · Post #15392 · Jan 6

#powershell#flare#malware_analysis#reverse_engineering FLARE-VM lets you quickly set up a full reverse engineering and malware analysis environment on a Windows 10+ virtual machine using simple scripts with Chocolatey and Boxstarter. Prepare a VM with 60GB disk, 2GB RAM, no spaces in username, internet, disabled Windows Updates, Tamper Protection, and anti-malware; then run the installer.ps1 script as admin after downloading it. This saves you hours of manual tool installs like IDA Free, Ghidra, and Binary Ninja, giving a ready-to-use, snapshot-revertible lab to safely analyze threats and boost your cybersecurity work. https://github.com/mandiant/flare-vm

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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