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@ -29,29 +29,13 @@ As you're going to see shortly, depending on the types of chats you want to have
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The chart below describes 4 different types of chats. They are separated by their unique characteristics, and a brief description is provided along with technical details and some pros/cons for each category.
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| **Public Chats** | **Private Chats** | **Anonymous Chats** | **Deniable Chats**
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- | **Public Chats** | **Private Chats** | **Anonymous Chats** | **Deniable Chats**
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---|---|---|---|---
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Description | A conversation that is viewable by anyone, taking place in a public medium | A conversation whose contents are known only to the participants | A conversation where some/all of the participants are not know by their real identities | A conversation that cannot be proven to have taken place
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Example | Alice and Bob speak in a sports stadium | Alice and Bob speak in a private glass conference room at work | Alice speaks to a mysterious man in a trench coat | Alice speaks to Bob but there is no record of their conversation or proof of what was said
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Technical Requirements (Online) | -None. **(everything you say is public knowledge)** | **-FOSS Software**
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**-E2EE is required** -You can self-host the chat server yourself | -FOSS Software
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-E2EE is required
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**-Upon signup, requires no phone numbers, no user IDs, and no IP address linkability (using Tor)
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** | -FOSS Software
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-E2EE is required
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-Upon signup, requires no phone numbers, no user IDs, and no IP address linkability (using Tor)
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**-Disappearing messages**
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Pros | -Easiest to achieve
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-No restrictions
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-Suitable for any environment | -Contents of the conversation are visible only by the participants
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-Many apps now implement E2EE | -May assume different anonymous identities for different conversations
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-Suitable for exploring controversial topics
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**-Anonymity is possible in public chats too!** | -Off the record
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-No history of the conversation
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-Suitable for sensitive topics
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Cons | -Anything said can be linked to your real identity | **-very few chat apps are FOSS on both the clientside and the serverside** -The identity of the participants are known
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-May still be known the conversation took place
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-May be able to build patterns based on conversations | **-even fewer chat apps can be used to sign up anonymously** -Deanonymization may happen based on what the anonymous party says | -Can't read the history of the chat beyond the time limit
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Technical Requirements (Online) | -None. **(everything you say is public knowledge)** | **-FOSS Software**</br>**-E2EE is required**</br> -You can self-host the chat server yourself | -FOSS Software</br>-E2EE is required</br>**-Upon signup, requires no phone numbers, no user IDs, and no IP address linkability (using Tor)** | -FOSS Software</br>-E2EE is required</br>-Upon signup, requires no phone numbers, no user IDs, and no IP address linkability (using Tor)</br>**-Disappearing messages**
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Pros | -Easiest to achieve</br>-No restrictions</br>-Suitable for any environment | -Contents of the conversation are visible only by the participants</br>-Many apps now implement E2EE | -May assume different anonymous identities for different conversations</br>-Suitable for exploring controversial topics</br>**-Anonymity is possible in public chats too!** | -Off the record</br>-No history of the conversation</br>-Suitable for sensitive topics
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Cons | -Anything said can be linked to your real identity | **-very few chat apps are FOSS on both the clientside and the serverside**</br>-The identity of the participants are known</br>-May still be known the conversation took place</br>-May be able to build patterns based on conversations | **-even fewer chat apps can be used to sign up anonymously**</br>-Deanonymization may happen based on what the anonymous party says | -Can't read the history of the chat beyond the time limit
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@ -40,7 +40,7 @@ Note that you can use only numbers **2-7** in the onion URL, as they are not par
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Below is a table showing what ports and services will be active on each server:
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| Server 1 | Server 2
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- | Server 1 | Server 2
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Hostname | server1 | server2
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Local HTTP (NGINX) port | 4440 | 4440
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@ -534,6 +534,9 @@ In the next tutorial of this series, we will configure [Onionbalance](https://on
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**Additional resources**
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* [MySQL master-master replication in local network](../../selfhosting/db/msql_mm.html) (written by Nihilist)
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* [MySQL master-slave replication over SSH tunnel](https://andrewhofmans.com/blog/how-to/mysql-master-slave-replication-over-ssh-tunnel/)
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@ -67,8 +67,10 @@ We'll show how to check prompt length and set appropriate context size in Open W
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**Open LLMs - Past and Present**
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Ever since [LLaMA 1 was leaked](https://www.theverge.com/2023/3/8/23629362/meta-ai-language-model-llama-leak-online-misuse) on 4chan in February 2023, we started seeing more and more companies caring about so called "open" LLMs. Those can be downloaded and run on users computer without any restrictions.
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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.
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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
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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:
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- | Gemma 3 | Phi4 | Granite 3.2* | Qwen 2.5 | llama 3.1
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| ---|---|---|---|---|---
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Trained by | Google | Microsoft | IBM | Alibaba | Meta
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Released on | 03-2025 | 12-2024 | 02-2025 | 09-2024 | 07-2024
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Parameter count | 12B | 14B | 8B | 14B | 8B
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@ -77,7 +79,7 @@ Other variants | 1B, 4B, 27B | Phi4-mini 4B | Vision 2B, 2B | 0.5B, 1.5B, 3B, 7B
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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
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Bad at | - | - | Complex tasks | Instruction following | Complex tasks, instruction following
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* - while I was writing this tutorial, Granite 3.3 was released
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\* - while I was writing this tutorial, Granite 3.3 was released
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## **Use-Cases**
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