Make sure you've got the latest updates - both Poolside and Unsloth updated about a week after release, and that you're running via llama.cpp (I've noticed on the same model and same command line arguments, ik_llama.cpp loses quality for me).
Also just in case you didn't see it, Laguna S 2.1 was having issues on MXPF4 but people on Q4 and Q6 couldn't repeat the problem.
I just downloaded the latest llama.cpp and poolside Q4 and within 10k tokens it corrupted "Use ~/p/kevincox.ca as a reference" into "kevinc.ai" and then starts doing stupid things because the directory "doesn't exist".
In previous testing the Q8 was better but still had the same problem frequently enough to be very difficult to use. I don't know if it is a runner bug or model bug but at least with llama.cpp this seems to always happen and I haven't seen an issue like this with any other model.
No compaction happened. (That is set near 256k.) It seems to really not like my domain but I've seen it for various things as well (especially high-entropy tokens). Dropping random characters or various things. I've tried various flash attention and context quantization settings but nothing seemed to resolve it completely.
Also just in case you didn't see it, Laguna S 2.1 was having issues on MXPF4 but people on Q4 and Q6 couldn't repeat the problem.