qBittorrent options (current and deprecated).I am looking forward to playing with the chat. I hope these notes help anyone else who get stuck. I am running this on my Linux Mint machine, not a Raspberry Pi, so I was able to skip all of those steps. I read through the README file and found this which worked: Step 12: There was not quantize.py file in my llama.cpp directory.

Otherwise it hung at 12.7GB indefinitely. Note: I use Linux Mint and had to turn off my firewall for the previous step. I ended up following these instructions from : Step 7: I was not able to download the torrent.

I am brand new to AI and a noob with python, so this could have easily been caused by something I did wrong. I was able to get this working, but I had to use some different directions. I asked it to tell me about Jean-Luc Picard from Star Trek: The Next Generation. Loading the model can take a few minutes./chat.shġ0. Even though the 7B model is lighter than other models, it is still a rather weighty model for the Raspberry Pi to digest. Here is where a little patience is required. Start an interactive chat session with “Bob”. Insert the USB drive and copy the files to /models/ This will overwrite any files in the models directory.ĩ. In the terminal, change directory to llama.cpp. These are needed to build C applications. Ensure that you have g++ and build essential installed. python3 -m pip install torch numpy sentencepieceĥ. These modules will work with the model to create a chat bot. Open a terminal and ensure that git is installed.

Boot your Raspberry Pi 4 to the desktop.Ģ. Step 9 in this process can be run on the Raspberry Pi 4 or on the Linux PC.ġ. Just don’t ask it to write any Python code. Then I load an interactive chat session and ask “Bob” a series of questions. In this final section I repeat the llama.cpp setup on the Raspberry Pi 4, then copy the models across using a USB drive.

Qbittorrent raspberry pi