Verah/

mistral-japanese-stabalelm-merge

This is a linear model merge of:

60% https://huggingface.co/mistralai/Mistral-7B-Instruct-v0.2

40% https://huggingface.co/stabilityai/japanese-stablelm-instruct-gamma-7b

I recommend following the Mistral chat template and prompting in English.

Tested on correct en-jp translation identification on the first 10k rows of https://huggingface.co/datasets/Verah/tatoeba_dedupe_en-jp_2024-March-01

Desired behaviour is to not accept any translation when we deliberaly test incorrect pairings from the dataset, and to not reject any translation when shown only correctly paired examples.

I made the test harder by concatenating 3 paired sentences together, in the false admissions case 1 out of those 3 was incorrectly paired.

This model also wanted to reject many "correct" translations, however 3 unrelated sentences back to back isn't a very correct thing to be doing, either.