---
tags:
- mergekit
- merge
- mistral
- roleplay
---

### Information

Uses ChatML, but Alpaca seems to work fine.

[**SillyTavern Presets**](https://huggingface.co/Virt-io/SillyTavern-Presets)

This is meant to be a smart RP model.

I did some unholy things to make the model load. (I removed all configs and replaced them with the ones from Hercules)

**Important**: When using this model it is necessary to include example messages, or it may sound bland. With examples it does pretty well.

### Reasoning behind the selected values

To my understanding layers in the middle have a lower effect than later layers on the final output.

So keeping this in mind, I only increase the % of the smart model, at the middle. As to increase its reasoning abilities, but keep it uncensored.

# Helen-v1

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 SLERP merge method.

### Models Merged

The following models were included in the merge:
* [l3utterfly/mistral-7b-v0.2-layla-v4](https://huggingface.co/l3utterfly/mistral-7b-v0.2-layla-v4)
* [Locutusque/Hercules-4.0-Mistral-v0.2-7B](https://huggingface.co/Locutusque/Hercules-4.0-Mistral-v0.2-7B)
* [Weyaxi/Einstein-v5-v0.2-7B](https://huggingface.co/Weyaxi/Einstein-v5-v0.2-7B)

### Configuration

The following YAML configuration was used to produce this model:

```yaml
slices:
  - sources:
      - model: l3utterfly/mistral-7b-v0.2-layla-v4
        layer_range: [0, 32]
      - model: Mergekit/Hercules-Einstein_low
        layer_range: [0, 32]
merge_method: slerp
base_model: l3utterfly/mistral-7b-v0.2-layla-v4
parameters:
  t:
    - filter: self_attn
      value: [0.15, 0.20, 0.35, 0.10, 0.15]
    - filter: mlp
      value: [0.15, 0.20, 0.35, 0.10, 0.15]
    - value: 0.15 # fallback for rest of tensors
dtype: float16

```