metadata
license: apache-2.0
datasets:
- argilla/distilabel-intel-orca-dpo-pairs
library_name: transformers
pipeline_tag: text-generation
🏠 Socials
Evangelion-7B
![](https://cdn-uploads.huggingface.co/production/uploads/63ae02ff20176b2d21669dd6/-si1T5gSSjvg1QlfeFKDf.jpeg)
I was just curious to see if something special might happen if one uses:
The underlying model that I used was /Weyaxi/OpenHermes-2.5-neural-chat-v3-3-Slerp
.
Dataset
Dataset: /argilla/distilabel-intel-orca-dpo-pairs
The dataset was roughly ~3000 samples but they were high quality (according to the chosen_score).
The following filters were applied to the original dataset:
dataset = dataset.filter(
lambda r:
r["status"] != "tie" and
r["chosen_score"] >= 8 and
not r["in_gsm8k_train"]
)
Chat Template
I decided to go with the ChatML which is used for OpenHermes2.5 By the way I integreated the chat template into the models tokenizer.
<|im_start|>system
{system}<|im_end|>
<|im_start|>user
{user}<|im_end|>
<|im_start|>assistant
{asistant}<|im_end|>