README.md

---
base_model: SvdH/RPLament-22B
library_name: transformers
tags:
- mergekit
- merge
quantized_by: SvdH
base_model_relation: quantized
license: other
license_name: mrl
license_link: https://mistral.ai/licenses/MRL-0.1.md
---
# RPLament-22B-exl2-4.5bpw

4.5BPW ExLLamaV2 quant of https://huggingface.co/SvdH/RPLament-22B

Using parquet: https://huggingface.co/datasets/roleplay4fun/pippa

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

## Merge Details
### Merge Method

This model was merged using the [DARE](https://arxiv.org/abs/2311.03099) [TIES](https://arxiv.org/abs/2306.01708) merge method using [ArliAI/Mistral-Small-22B-ArliAI-RPMax-v1.1](https://huggingface.co/ArliAI/Mistral-Small-22B-ArliAI-RPMax-v1.1) as a base.

### Models Merged

The following models were included in the merge:
* [allura-org/MS-Meadowlark-22B](https://huggingface.co/allura-org/MS-Meadowlark-22B)
* [Gryphe/Pantheon-RP-1.6.2-22b-Small](https://huggingface.co/Gryphe/Pantheon-RP-1.6.2-22b-Small)
* [rAIfle/Acolyte-22B](https://huggingface.co/rAIfle/Acolyte-22B)
* [anthracite-org/magnum-v4-22b](https://huggingface.co/anthracite-org/magnum-v4-22b)

### Configuration

The following YAML configuration was used to produce this model:

```yaml
merge_method: dare_ties
base_model: ArliAI/Mistral-Small-22B-ArliAI-RPMax-v1.1
parameters:
  int8_mask: true
dtype: bfloat16
models:
  - model: ArliAI/Mistral-Small-22B-ArliAI-RPMax-v1.1
    parameters:
      weight: 0.30
      density: 0.78
  - model: anthracite-org/magnum-v4-22b
    parameters:
      weight: 0.25
      density: 0.66
  - model: allura-org/MS-Meadowlark-22B
    parameters:
      weight: 0.20
      density: 0.54
  - model: rAIfle/Acolyte-22B
    parameters:
      weight: 0.15
      density: 0.42
  - model: Gryphe/Pantheon-RP-1.6.2-22b-Small
    parameters:
      weight: 0.10
      density: 0.42
```