transformers safetensors mistral text-generation mergekit merge arxiv:2306.01708 base_model:cognitivecomputations/dolphin-2.6-mistral-7b-dpo-laser base_model:Intel/neural-chat-7b-v3-3 base_model:meta-math/MetaMath-Mistral-7B autotrain_compatible endpoints_compatible text-generation-inference region:us
---
base_model:
- cognitivecomputations/dolphin-2.6-mistral-7b-dpo-laser
- Intel/neural-chat-7b-v3-3
- meta-math/MetaMath-Mistral-7B
tags:
- mergekit
- merge

---
# Ethux 7B merge

This model is a test of what is possible with mergekit, this model does not have the best performance and quality responses yet.

This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit).

## Merge Details
### Merge Method

This model was merged using the [TIES](https://arxiv.org/abs/2306.01708) merge method using [Intel/neural-chat-7b-v3-3](https://huggingface.co/Intel/neural-chat-7b-v3-3) as a base.

### Models Merged

The following models were included in the merge:
* [cognitivecomputations/dolphin-2.6-mistral-7b-dpo-laser](https://huggingface.co/cognitivecomputations/dolphin-2.6-mistral-7b-dpo-laser)
* [meta-math/MetaMath-Mistral-7B](https://huggingface.co/meta-math/MetaMath-Mistral-7B)

### Configuration

The following YAML configuration was used to produce this model:

```yaml
# Main configuration for merging pre-trained models

models:
#  - model: Intel/neural-chat-7b-v3-3
#    parameters:
#      density: 0.9 # High density since generally good for most tasks
#      weight: 0.4 # Lower weight compared to openchat due to slight inferiority
  - model: meta-math/MetaMath-Mistral-7B
    parameters:
      density: 0.6 # Moderate density focusing mainly on mathematical prowess
      weight:
        - filter: mlp
          value: 0.5
        - value: 0
  - model: cognitivecomputations/dolphin-2.6-mistral-7b-dpo-laser
    parameters:
      density: 0.8 # Balanced density emphasizing coding skills over chitchat
      weight: 0.4 # Slightly higher weight acknowledging superior coding ability

base_model: Intel/neural-chat-7b-v3-3
merge_method: ties
parameters:
  normalize: true
  int8_mask: false
dtype: float16
```
