Magtie V1 12B

🚀 MagTie-v1-12B

MagTie-v1-12B is a merged pre - trained language model created with mergekit, which uses a DARE - TIES merge method to retain more training from contributing models.

🚀 Quick Start

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

We used a pretrained base model as the base for a DARE - TIES merge, compensating by boosting the weights and densities in order to retain more training from the contributing models.

✨ Features

• Model Merging: Utilizes the DARE TIES method to merge multiple pre - trained models.
• Configuration - based: Allows for flexible configuration through a YAML file.

📚 Documentation

Merge Details

Merge Method

This model was merged using the DARE TIES merge method using grimjim/mistralai-Mistral-Nemo-Base-2407 as a base.

Models Merged

The following models were included in the merge:

• Delta-Vector/Francois-Huali-12B
• grimjim/Magnolia-v3-12B
• inflatebot/MN-12B-Mag-Mell-R1

Configuration

The following YAML configuration was used to produce this model:

base_model: grimjim/mistralai-Mistral-Nemo-Base-2407
models:
  - model: grimjim/mistralai-Mistral-Nemo-Base-2407
  - model: inflatebot/MN-12B-Mag-Mell-R1
    parameters:
      weight: 0.85
      density: 0.75
  - model: Delta-Vector/Francois-Huali-12B
    parameters:
      weight: 0.85
      density: 0.75
  - model: grimjim/Magnolia-v3-12B
    parameters:
      weight: 0.85
      density: 0.75
merge_method: dare_ties
parameters:
  normalize: true
  int8_mask: true
dtype: bfloat16

📄 License

This project is licensed under the apache - 2.0 license.

Information Table