---
base_model:
- ABX-AI/Cerebral-Infinity-7B
- ABX-AI/Spicy-Laymonade-7B
library_name: transformers
tags:
- mergekit
- merge

---
# GGUF / IQ / Imatrix for [Cosmic-Citrus-9B](https://huggingface.com/ABX-AI/Cosmic-Citrus-9B)

![image/png](https://cdn-uploads.huggingface.co/production/uploads/65d936ad52eca001fdcd3245/mm8eJBytwElxWw_V1voDW.png)

**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 contains general, semi-random data, with some custom kink.


# Cosmic-Citrus-9B

Another attempt at merging Cerebrum, InfinityRP, LemonadeRP, and Laymonade, all already merged in my previous merges, now into a 9B containing TheSpice.

So far in my tests, it seems to follow my cards in intriguing way, using refined language, with more consideration of what the prompt is saying.


## Merge Details

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

### Merge Method

This model was merged using the passthrough merge method.

### Models Merged

The following models were included in the merge:
* [ABX-AI/Cerebral-Infinity-7B](https://huggingface.co/ABX-AI/Cerebral-Infinity-7B)
* [ABX-AI/Spicy-Laymonade-7B](https://huggingface.co/ABX-AI/Spicy-Laymonade-7B)

### Configuration

The following YAML configuration was used to produce this model:

```yaml
slices:
  - sources:
      - model: ABX-AI/Cerebral-Infinity-7B
        layer_range: [0, 20]
  - sources:
      - model: ABX-AI/Spicy-Laymonade-7B
        layer_range: [12, 32]
merge_method: passthrough
dtype: float16

```