Chatty AI man
A simple 250GB download can secure your own personal HAL.
At the time of writing, the official way to get access to the model data involves visiting A https://bit.ly/lxf304form and filling out the form. Sadly, practical experience teaches that non-edu email addresses usually don’t get a positive result. There’s an unofficial research route for noncommercial use at https://github.com/Elyah2035/llama-dl/blob/main/llama.shwhich contains a convenient shell script for procuring the model data. Copy it (though it could cease being available) to your local environment and deploy it as per following: (aitranslator) ~/aitranslatespace$ cd models/ (aitranslator) ~/aitranslatespace/models$ gedit llamadl.sh (aitranslator) ~/aitranslatespace/models$ chmod +x llamadl.sh (aitranslator) ~/aitranslatespace/models$ ./llamadl.sh
The actual download process takes about two hours (actual size is ~250GB) on a gigabit connection, so be prepared to wait for a while. Furthermore, the script deploys all sizes – not only the smallest model, which will be used in the following steps.
Be that as it may, the next step involves downloading the actual llama.cpp work environment from GitHub. It must, furthermore, be compiled to become ready to work: (aitranslator) ~/aitranslatespace$ git clone https:// github.com/ggerganov/llama.cpp (aitranslator) ~/aitranslatespace/llama.cpp$ make