Exploring Llama Models: mistakes and lessons

[reecesignal]

I wanted to start a broader mistakes and lessons thread around Llama Models.

A useful angle is beginner tips, but it also connects with creative uses. Different tools and workflows can produce very different results even when the goal is similar.

It would be interesting to compare practical examples, experiments, setups, or lessons that show where Llama Models is genuinely useful and where it still needs improvement.

 

[millie3256]

One thing worth trying with Exploring Llama Models: mistakes and lessons is a controlled comparison around llama and models. Use the same input for each test and note what changes in the output rather than judging from a single run. It also gives you a cleaner baseline if you want to compare tools or settings later.