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---
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
```
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