This [1] link is absolutely golden, thanks!

I've used this meta framework for LLM tuning, it really one of the best out there.

Still my default tool to install on any remote server. My secret weapon :)

Hehe, great post. Just use Hono or Hono X. It's so easier to reason about what's going on for me, mostly backend guy.

Wow, so cool retro designed blog there! For those who kinda liked window system of first Mac generations :)

This so cool! Would love to have some time to train myself with those exercises more

On acoustic with light or medium strings - it's OK. I used to flatten them with nail file from time to time. But it might be much easier on your finger tips just to start with electric and then progress towards acoustic.

I came here to say something similar to this. The action on most electric guitars (assuming they're set up properly) is a lot more forgiving for beginners than steel-string acoustics which are often set up with higher action in order to improve the volume.

I did my own experiments and it looks like (surprisingly) Q4KM models often outperforms Q6 and Q8 quantised models.

For bigger models (in range of 8B - 70B) the Q4KM is very good, there are no any degradation compared to full FP16 models.

> LLMs are very bad at interpreting Markdown tables

Which table format is better for LLMs? Do you have some insights there?

I did started learning 6502 assembler back in those days :)

Recently I have been busy writing the emulator in Golang:

https://github.com/gotzmann/6502