metadata

base_model:
  - mlabonne/AlphaMonarch-7B
  - datatab/Yugo55-GPT-v4
  - datatab/Yugo55-GPT-DPO-v1-chkp-300
  - NousResearch/Nous-Hermes-2-Mistral-7B-DPO
library_name: transformers
tags:
  - mergekit
  - merge

# Yugo55A-GPT

Developed by: datatab
License: mit

🏆 Results

Results obtained through the Serbian LLM evaluation, released by Aleksa Gordić: serbian-llm-eval

Evaluation was conducted on a 4-bit version of the model due to hardware resource constraints.

MODEL	ARC-E	ARC-C	Hellaswag	BoolQ	Winogrande	OpenbookQA	PiQA
Yugo55-GPT-v4-4bit	51.41	36.00	57.51	80.92	65.75	34.70	70.54
Yugo55A-GPT	51.52	37.78	57.52	84.40	65.43	35.60	69.43

merge

This is a merge of pre-trained language models created using mergekit.

Merge Details

Merge Method

This model was merged using the linear merge method.

Models Merged

The following models were included in the merge:

🧩 Configuration

The following YAML configuration was used to produce this model:


models:
  - model: datatab/Yugo55-GPT-v4
    parameters:
      weight: 1.0
  - model: datatab/Yugo55-GPT-DPO-v1-chkp-300
    parameters:
      weight: 1.0
  - model: mlabonne/AlphaMonarch-7B
    parameters:
      weight: 0.5
  - model: NousResearch/Nous-Hermes-2-Mistral-7B-DPO
    parameters:
      weight: 0.5
merge_method: linear
dtype: float16