---
license: apache-2.0
---
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.


## Evaluation

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.


|Model           |	False Admissions|	False Rejections |
|----------------|------------------|--------------------|
|Mistral Instruct    |	41              |	600 |
|(This Model)             |	13              |	1839 |
|JP Stable LM Gamma  |	9679            |	138 |
|Hermes2DPO          |	20              |	598 |


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

|Model|	False Admissions | False* Rejections|	
|-----|------------------|-----------------|
|(This Model) |	89 |	5508|
|Hermes2DPO   |	537|	1458|

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.