This is a merge of pre-trained language models created using mergekit. I wanted to have enhanced roleplay performance and merged two of my favorite models together. I maybe release some merges like this with different methods and biases. This config seemed to be the best mix of both world on first glance. I will update my experiences further in the future.

Merge Details

Merge Method

This model was merged using the TIES merge method using NousResearch/Hermes-2-Theta-Llama-3-70B as a base.

Models Merged

The following models were included in the merge:

Sao10K/L3-70B-Euryale-v2.1

Configuration

The following YAML configuration was used to produce this model:

yaml

models:
  - model: NousResearch/Hermes-2-Theta-Llama-3-70B
    parameters:
      weight: 0.8
  - model: Sao10K/L3-70B-Euryale-v2.1
    parameters:
      weight: 0.2
merge_method: ties
base_model: NousResearch/Hermes-2-Theta-Llama-3-70B
parameters:
  density: 0.7
  normalize: true
dtype: float16
tokenizer_source: base

juvi21/Hermes-2-Theta-L3-Euryale-Ties-0.8-70B

Hermes-2-Theta-L3-Euryale-Ties-0.8-70B

Merge Details

Merge Method

Models Merged

Configuration

juvi21/
Hermes-2-Theta-L3-Euryale-Ties-0.8-70B