@secondcentre · Post #6647 · 02/23/2026, 07:55 AM
#二手机场流转计划 机场名: #ssid 官网: ss-id.com 交易方式: 口令 求购价格: 40 交付方式: 账密 账户要求: 200g不限时 求购原因: 我来许愿来了 联系方式: https://t.me/a2f6d8b3j3o9 #求购 ⚠️ 理性消费,谨慎防诈。
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Source channel @githubtrending · Post #14815 · Jun 10
#jupyter_notebook#chatglm#chatglm3#gemma_2b_it#glm_4#internlm2#llama3#llm#lora#minicpm#q_wen#qwen#qwen1_5#qwen2 This guide helps beginners set up and use open-source large language models (LLMs) on Linux or cloud platforms like AutoDL, with step-by-step instructions for environment setup, model deployment, and fine-tuning for models such as LLaMA, ChatGLM, and InternLM[2][4][5]. It covers everything from basic installation to advanced techniques like LoRA and distributed fine-tuning, and supports integration with tools like LangChain and online demo deployment. The main benefit is making powerful AI models accessible and easy to use for students, researchers, and anyone interested in experimenting with or customizing LLMs for their own projects[2][4][5]. https://github.com/datawhalechina/self-llm
Search: #ssid
@secondcentre · Post #6647 · 02/23/2026, 07:55 AM
#二手机场流转计划 机场名: #ssid 官网: ss-id.com 交易方式: 口令 求购价格: 40 交付方式: 账密 账户要求: 200g不限时 求购原因: 我来许愿来了 联系方式: https://t.me/a2f6d8b3j3o9 #求购 ⚠️ 理性消费,谨慎防诈。
@libreware · Post #1512 · 09/28/2025, 11:58 AM
Chasing Your Tail (CYT) https://github.com/ArgeliusLabs/Chasing-Your-Tail-NG A comprehensive #WiFi probe request analyzer that monitors and tracks wireless devices by analyzing their probe requests. The system integrates with #Kismet for packet capture and WiGLE API for #SSID#geolocation analysis, featuring advanced #surveillance#detection capabilities. Features Real-time Wi-Fi monitoring with Kismet integration Advanced surveillance detection with persistence scoring Automatic GPS integration - extracts coordinates from Bluetooth GPS via Kismet GPS correlation and location clustering (100m threshold) Spectacular KML visualization for Google Earth with professional styling and interactive content Multi-format reporting - Markdown, HTML (with pandoc), and KML outputs Time-window tracking (5, 10, 15, 20 minute windows) WiGLE API integration for SSID geolocation Multi-location tracking algorithms for detecting following behavior Enhanced GUI interface with surveillance analysis button Organized file structure with dedicated output directories Comprehensive logging and analysis tools Requirements Python 3.6+ Kismet wireless packet capture Wi-Fi adapter supporting monitor mode Linux-based system WiGLE API key (optional)