README.md

---
license: cc-by-nc-4.0
library_name: transformers
tags:
- mergekit
- merge
- alpaca
- mistral
- not-for-all-audiences
- nsfw
---
# WestIceLemonTeaRP-32k-7b

This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit).

## Merge Details

Prompt template: Alpaca, maybe ChatML

* measurement.json for quanting exl2 included.

- [4.2bpw-exl2](https://huggingface.co/icefog72/WestIceLemonTeaRP-32k-7b-4.2bpw-exl2)
- [6.5bpw-exl2](https://huggingface.co/icefog72/WestIceLemonTeaRP-32k-7b-6.5bpw-exl2)
- [8bpw-exl2](https://huggingface.co/icefog72/WestIceLemonTeaRP-32k-7b-8bpw-exl2)


thx mradermacher and SilverFan for 
* [mradermacher/WestIceLemonTeaRP-32k-GGUF](https://huggingface.co/mradermacher/WestIceLemonTeaRP-32k-GGUF)
* [SilverFan/WestIceLemonTeaRP-7b-32k-GGUF](https://huggingface.co/SilverFan/WestIceLemonTeaRP-7b-32k-GGUF)

### Merge Method

This model was merged using the SLERP merge method.

### Models Merged

The following models were included in the merge:
* WestWizardIceLemonTeaRP
  * SeverusWestLake-7B-DPO
  * WizardIceLemonTeaRP
    * Not-WizardLM-2-7B
    * IceLemonTeaRP-32k-7b
* IceLemonTeaRP-32k-7b

### Configuration

The following YAML configuration was used to produce this model:

```yaml

slices:
  - sources:
      - model: IceLemonTeaRP-32k-7b
        layer_range: [0, 32]
      - model: WestWizardIceLemonTeaRP
        layer_range: [0, 32]
merge_method: slerp
base_model: IceLemonTeaRP-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
```