Mistral-7B-Merge-02-v0

Model Description

This is an experiment to compare merging 2 models using DARE TIES versus SLERP 🦙

We are mainly interested to compare against Weyaxi/OpenHermes-2.5-neural-chat-v3-3-Slerp

The 2 models involved in the merge as follows:

1. teknium/OpenHermes-2.5-Mistral-7B
2. Intel/neural-chat-7b-v3-3

• base model: mistralai/Mistral-7B-v0.1

The yaml config file for the merge is:

models:
  - model: mistralai/Mistral-7B-v0.1
    # no parameters necessary for base model
  - model: teknium/OpenHermes-2.5-Mistral-7B
    parameters:
      weight: 0.5
      density: 0.5
  - model: Intel/neural-chat-7b-v3-3
    parameters:
      weight: 0.5
      density: 0.5
merge_method: dare_ties
base_model: mistralai/Mistral-7B-v0.1
parameters:
  int8_mask: true
dtype: bfloat16

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Note that with more tuning DARE TIES might achieve better results.