README.md

---
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
```