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---
base_model:
- icefog72/Kunokukulemonchini-32k-7b
- icefog72/Mixtral_AI_Cyber_3.m1-BigL
- LeroyDyer/Mixtral_AI_Cyber_3.m1
- Undi95/BigL-7B
library_name: transformers
tags:
- mergekit
- merge
- alpaca
- mistral
- not-for-all-audiences
- nsfw
license: cc-by-nc-4.0
---
# IceLemonTeaRP-32k-7b
This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit).
## Merge Details
Cooked merge from fresh ingredients to fix [icefog72/IceTeaRP-7b](https://huggingface.co/icefog72/IceTeaRP-7b) repetition problems.
Prompt template: Alpaca, maybe ChatML
measurement.json for quanting exl2 included.
### Merge Method
This model was merged using the SLERP merge method.
### Models Merged
The following models were included in the merge:
* icefog72/Kunokukulemonchini-32k-7b
* [grimjim/kukulemon-32K-7B](https://huggingface.co/grimjim/kukulemon-32K-7B)
* [Nitral-AI/Kunocchini-7b-128k-test](https://huggingface.co/Nitral-AI/Kunocchini-7b-128k-test)
* icefog72/Mixtral_AI_Cyber_3.m1-BigL
* [LeroyDyer/Mixtral_AI_Cyber_3.m1](https://huggingface.co/LeroyDyer/Mixtral_AI_Cyber_3.m1)
* [Undi95/BigL-7B](https://huggingface.co/Undi95/BigL-7B)
### Configuration
The following YAML configuration was used to produce this model:
```yaml
slices:
- sources:
- model: Mixtral_AI_Cyber_3.m1-BigL
layer_range: [0, 32]
- model: Kunokukulemonchini-32k-7b
layer_range: [0, 32]
merge_method: slerp
base_model: Kunokukulemonchini-32k-7b
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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