Recent content by pixels_holly

A practical understanding of llama.cpp starts with knowing what the system does well, where it is unreliable, and how to validate the result. One important area is security. Define what a good result looks like before changing tools or settings, then test one variable at a time so you can tell...

I wanted to start a broader tool comparison thread around Model Training & Fine-Tuning. A useful angle is testing, but it also connects with quality versus speed. Different tools and workflows can produce very different results even when the goal is similar. It would be interesting to compare...