diff --git a/mysqlmastermaster/index.md b/mysqlmastermaster/index.md index 96890b4..3672e13 100644 --- a/mysqlmastermaster/index.md +++ b/mysqlmastermaster/index.md @@ -6,6 +6,12 @@ xmr: 862Sp3N5Y8NByFmPVLTPrJYzwdiiVxkhQgAdt65mpYKJLdVDHyYQ8swLgnVr8D3jKphDUcWUCVK --- # How to setup a MySQL Master-Master replication over Tor + + + + ## **Introduction** Your dark net [vegetable shop](../tornginxphpmysql/index.md) turned out to be a **wild success**! diff --git a/openwebuilocalllms/0.png b/openwebuilocalllms/0.png index ea3bb6d..d8c635d 100644 Binary files a/openwebuilocalllms/0.png and b/openwebuilocalllms/0.png differ diff --git a/openwebuilocalllms/1.png b/openwebuilocalllms/1.png index 7c60d39..00de73c 100644 Binary files a/openwebuilocalllms/1.png and b/openwebuilocalllms/1.png differ diff --git a/openwebuilocalllms/index.md b/openwebuilocalllms/index.md index 28d910c..ca29fec 100644 --- a/openwebuilocalllms/index.md +++ b/openwebuilocalllms/index.md @@ -69,8 +69,8 @@ Ever since [LLaMA 1 was leaked](https://www.theverge.com/2023/3/8/23629362/meta- In early 2025 we also heard A LOT about deepseek-r1. An open reasoning LLM that tried to compete with OpenAI's ChatGPT. While it wasn't Deepseeks first model (their earlier work includes deepseek-coder, deepseek-v2.5 MoE and deepseek-v3), the hype was global. It brought a lot of attention to open LLM ecosystem and made proprietary AI companies loose billions. Personally, I was interested in Open LLMs since their inception - when ollama project based on llama.cpp was born. Here're some of my picks for best self-hostable models currently available on ollama: -- | Gemma 3 | Phi4 | Granite 3.2* | Qwen 2.5 | llama 3.1 -| ---|---|---|---|---|--- +-| Gemma 3 | Phi4 | Granite 3.2* | Qwen 2.5 | llama 3.1 +---|---|---|---|---|--- Trained by | Google | Microsoft | IBM | Alibaba | Meta Released on | 03-2025 | 12-2024 | 02-2025 | 09-2024 | 07-2024 Parameter count | 12B | 14B | 8B | 14B | 8B @@ -78,7 +78,7 @@ Size (Q4_K_M) | 8.1 GB | 9.1 GB | 4.9 GB | 9.0 GB | 4.9 GB Other variants | 1B, 4B, 27B | Phi4-mini 4B | Vision 2B, 2B | 0.5B, 1.5B, 3B, 7B, 32B, 72B, Qwen-coder | 70B, 405B Good at | Reasoning, explaining concepts, light programming, vision, translation | Instruction following, programming, complex tasks, translation | General tasks, light programming, translation | Translation, general tasks | General tasks Bad at | - | - | Complex tasks | Instruction following | Complex tasks, instruction following - + \* - while I was writing this tutorial, Granite 3.3 was released ## **Use-Cases** diff --git a/tailsqemuvm/40.mp4 b/tailsqemuvm/40.mp4 index 89f1a33..ec66801 100644 Binary files a/tailsqemuvm/40.mp4 and b/tailsqemuvm/40.mp4 differ diff --git a/tailsqemuvm/index.md b/tailsqemuvm/index.md index c92cd8f..c68b3bf 100644 --- a/tailsqemuvm/index.md +++ b/tailsqemuvm/index.md @@ -190,6 +190,10 @@ Now suppose you are living in a country where using Tails OS and Tor is not goin If you have a regular live usb tails os setup, all you need to do is to simply **unplug or disconnect the USB stick to shutdown the system and wipe off all forensic trace of what you were doing:** + + And If you have a Tails OS VM, you can simply hit the shutdown button to erase what you were doing in the VM: ![](20.png)