---
base_model:
- SanjiWatsuki/Kunoichi-DPO-v2-7B
- Nitral-AI/Infinitely-Laydiculous-9B
library_name: transformers
tags:
- mergekit
- merge
- mistral
- not-for-all-audiences
---
GGUF-IQ-Imatrix quants for **[ABX-AI/Infinitely-Kunodiculous-9B](https://huggingface.co/ABX-AI/Infinitely-Kunodiculous-9B)**.

I'd like to extend my gratitude to [@Lewdiculous](https://huggingface.co/Lewdiculous) for the inspiration to start trying to learn about merging and Imatrix quantization and help with answering my questions, and to [@ Nitral-AI
](https://huggingface.co/Nitral-AI) for the help with questions about merging as well.

**Why Importance Matrix?**

**Importance Matrix**, at least based on my testing, has shown to improve the output and performance of "IQ"-type quantizations, where the compression becomes quite heavy.
The **Imatrix** performs a calibration, using a provided dataset. Testing has shown that semi-randomized data can help perserve more important segments as the compression is applied.

Related discussions in Github:
[[1]](https://github.com/ggerganov/llama.cpp/discussions/5006) [[2]](https://github.com/ggerganov/llama.cpp/discussions/5263#discussioncomment-8395384)

The imatrix.txt file that I used can be found [here](https://huggingface.co/FantasiaFoundry/GGUF-Quantization-Script/blob/main/imatrix/imatrix.txt). 
The data of the imatrix is general, semi-random.


# Description

![example](https://i.imgur.com/6iMB3Cp.png)

This model is intended for role-playing and storywriting purposes.

This is the very firt merge I have ever tried. It seems to be working, or by the minimum does not appear to be broken :) The prime idea of this is to be an experiment and help me learn how to do merges and quants.

GGUF/IQ/Imatrix: https://huggingface.co/ABX-AI/Infinitely-Kunodiculous-9B-GGUF-IQ-Imatrix

# Infinitely-Kunodiculous-9B 

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 passthrough merge method.

### Models Merged

The following models were included in the merge:
* [SanjiWatsuki/Kunoichi-DPO-v2-7B](https://huggingface.co/SanjiWatsuki/Kunoichi-DPO-v2-7B)
* [Nitral-AI/Infinitely-Laydiculous-9B](https://huggingface.co/Nitral-AI/Infinitely-Laydiculous-9B)

### Configuration

The following YAML configuration was used to produce this model:

```yaml
slices:
  - sources:
      - model: Nitral-AI/Infinitely-Laydiculous-9B
        layer_range: [0, 20]
  - sources:
      - model: SanjiWatsuki/Kunoichi-DPO-v2-7B
        layer_range: [12, 32]
merge_method: passthrough
dtype: float16
```