README.md

---
base_model:
- NurtureAI/neural-chat-7b-v3-1-16k
- NousResearch/Hermes-2-Pro-Mistral-7B
library_name: transformers
tags:
- mergekit
- merge

---
# Testing purpose only, seem it not good in Roleplaying 😢
# You may want see this: https://huggingface.co/Alsebay/My_LLMs_Leaderboard
# merge

This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit).
# GGUF version: 
https://huggingface.co/Alsebay/Nutopia-7B-GGUF

Want more? Not what you're looking for? Imatrix and the rest of quantization model was made by [mradermacher](https://huggingface.co/mradermacher). Thank mradermacher for help. :)
https://huggingface.co/mradermacher/Nutopia-7B-GGUF

## Merge Details
### Merge Method

This model was merged using the SLERP merge method.

### Models Merged

The following models were included in the merge:
* [NurtureAI/neural-chat-7b-v3-1-16k](https://huggingface.co/NurtureAI/neural-chat-7b-v3-1-16k)
* [NousResearch/Hermes-2-Pro-Mistral-7B](https://huggingface.co/NousResearch/Hermes-2-Pro-Mistral-7B)

### Configuration

The following YAML configuration was used to produce this model:

```yaml

slices:
  - sources:
      - model: NurtureAI/neural-chat-7b-v3-1-16k
        layer_range: [0, 32]
      - model: NousResearch/Hermes-2-Pro-Mistral-7B
        layer_range: [0, 32]
merge_method: slerp
base_model: NurtureAI/neural-chat-7b-v3-1-16k
parameters:
  t:
    - filter: self_attn
      value: [0, 0.5, 0.3, 0.7, 1]
    - filter: mlp
      value: [1, 0.5, 0.7, 0.3, 0]
    - value: 0.5
dtype: float16

```