metadata

license: apache-2.0
datasets:
  - argilla/distilabel-intel-orca-dpo-pairs
library_name: transformers
pipeline_tag: text-generation

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Evangelion-7B

I was just curious to see if something special might happen if one uses: $\text{{high-quality DPO dataset}} + \text{{merge of DPO optimized and non-DPO optimized model}}$

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|>