TLDR: Local models have a smaller context window, so your 35kB prompts that worked fine against a hosted 1 Million token window, crash out when you only have a 65K (!) token window locally.
I dislike being negative, but I was really hoping for more substance when reading this. It would have been an interesting topic.
Thanks for the feedback. I wanted to get into more detail, but I spent the whole weekend working these problems and then constructing this post.
Dario’s behavior this weekend made me feel like this just needed to get out quick. In the future, I’ll be sharing more details about some other things in the process and some ways I found to use automation to accelerate splitting prompts for use on local inference.