Harbor

Background Last month, Cisco researchers detected over 1,000 Ollama instances within the first 10 minutes using Shodan scanning on 11434 port. Other services such as vLLM/llama.cpp/LangChain on 8000, LM Studio on 1234, GPT4All on 4891, are also identified. Later, Censys found 10.6K Ollama instances publicly available online, and 1.5K of these instances respond to prompts. That poses not only a great security risk of RCE, injection and poisoning, but also possible to expose private chat memory via unauthorized prompting. ...

In the past, I have covered how to set up Ubuntu in WSL2 and hosting local LLMs with Harbor, now I want to migrate my Harbor instance from baremetal Linux into WSL2 so that I don’t have to set it up from scratch. First thing to do is to open firewall port netsh interface portproxy add v4tov4 listenport=33811 listenaddress=0.0.0.0 connectport=33801 connectaddress=172.xx.xxx.xxx On Linux hardware: copy Harbor files from /home/username/Harbor /home/username/.ollama On Windows hardware: connect the USB drive containing Harbor files and run ...

Lately, there is a need of private chatbot service as a complete alternative to OpenAI’s ChatGPT. So, I decide to implement one at home and make it accessible to everyone in my household alongside with my network printer and NAS (OpenMediaVault). In the past, I used to recommend people using Llama series for English tasks and Qwen series for Chinese tasks. There was no open-source model that’s strong enough in multilingual tasks comparing to proprietary ones (GPT/Claude). ...