---
base_model:
- ArliAI/Mistral-Small-22B-ArliAI-RPMax-v1.1
- rAIfle/Acolyte-22B
- byroneverson/Mistral-Small-Instruct-2409-abliterated
- DazzlingXeno/Cydonian-Gutenberg
library_name: transformers
tags:
- mergekit
- merge

---
## Karasik 0.1

### Overview

Somewhat experimental merge of some Mistral Small models. 

### Quants

[Static](https://huggingface.co/mradermacher/Karasik-22B-v0.1-GGUF)

[Imatrix](https://huggingface.co/mradermacher/Karasik-22B-v0.1-i1-GGUF)

## Merge Details
### Merge Method

This model was merged using the della_linear 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:
* [rAIfle/Acolyte-22B](https://huggingface.co/rAIfle/Acolyte-22B)
* [byroneverson/Mistral-Small-Instruct-2409-abliterated](https://huggingface.co/byroneverson/Mistral-Small-Instruct-2409-abliterated)
* [DazzlingXeno/Cydonian-Gutenberg](https://huggingface.co/DazzlingXeno/Cydonian-Gutenberg)

### Configuration

The following YAML configuration was used to produce this model:

```yaml
base_model: ArliAI/Mistral-Small-22B-ArliAI-RPMax-v1.1
parameters:
  epsilon: 0.04
  lambda: 1.05
  int8_mask: true
  rescale: true
  normalize: false
dtype: bfloat16
tokenizer_source: base
merge_method: della_linear
models:
  - model: ArliAI/Mistral-Small-22B-ArliAI-RPMax-v1.1
    parameters:
      weight: [0.2, 0.3, 0.2, 0.3, 0.2]
      density: [0.45, 0.55, 0.45, 0.55, 0.45]
  - model: rAIfle/Acolyte-22B
    parameters:
      weight: [0.01768, -0.01675, 0.01285, -0.01696, 0.01421]
      density: [0.6, 0.4, 0.5, 0.4, 0.6]
  - model: byroneverson/Mistral-Small-Instruct-2409-abliterated
    parameters:
      weight: [0.208, 0.139, 0.139, 0.139, 0.208]
      density: [0.7]
  - model: DazzlingXeno/Cydonian-Gutenberg
    parameters:
      weight: [0.33]
      density: [0.45, 0.55, 0.45, 0.55, 0.45]
```