---
base_model:
- grimjim/Magot-v1-Gemma2-8k-9B
library_name: transformers
pipeline_tag: text-generation
quanted_by: grimjim
tags:
- mergekit
- merge
license: gemma
---
# Magot-v1-Gemma2-8k-9B

This repo contains GGUF quants of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit).

This model is an experiment in using merger as a method of making an Instruct-heavy model less constrained in its text generation.

Tested at temp=1, minP=0.01. Coherence is high, though not perfect. The low weight (0.2) infusion of the Magnum model provided needed variety to text generation. This model is being released because it is "good enough" and interesting. Inherent model safety is still strong due to Instruct base, but narratives are less bounded by positivity.

When used, metadata link backs to this model are appreciated. The motivation is curiosity regarding what people do with this.

## Merge Details
### Merge Method

This model was merged using the SLERP merge method.

### Models Merged

The following models were included in the merge:
* [grimjim/Kitsunebi-v1-Gemma2-8k-9B](https://huggingface.co/grimjim/Kitsunebi-v1-Gemma2-8k-9B)
* [anthracite-org/magnum-v3-9b-customgemma2](https://huggingface.co/anthracite-org/magnum-v3-9b-customgemma2)

### Configuration

The following YAML configuration was used to produce this model:

```yaml
slices:
- sources:
  - model: grimjim/Kitsunebi-v1-Gemma2-8k-9B
    layer_range: [0, 42]
  - model: anthracite-org/magnum-v3-9b-customgemma2
    layer_range: [0, 42]
merge_method: slerp
base_model: grimjim/Kitsunebi-v1-Gemma2-8k-9B
parameters:
  t:
   - value: 0.2
dtype: bfloat16

```