
MiniSymp2 is A retrain of my MiniSymposium model attempt except with some more data and better practices.

- added EOS tokens where they belong
- made the prompt formats more diverse in the data so you could experiment / play with prompt format in context
- added some new examples
- measured loss curve to make sure I wasn't overfitting
- used 8-bit lora instead of 4-bit qlora
{"license": "apache-2.0"}
gguf license:apache-2.0 region:us