README.md

---
base_model:
- Sao10K/Fimbulvetr-10.7B-v1
- saishf/Kuro-Lotus-10.7B
library_name: transformers
tags:
- mergekit
- merge

---
# **This repo is broken. use https://huggingface.co/Bakanayatsu/Fimbulvetr-Kuro-Lotus-10.7B-GGUF-imatrix**

---------------------------------------

GGUFs' for https://huggingface.co/saishf/Fimbulvetr-Kuro-Lotus-10.7B

This model is a merge of my personal favourite models, i couldn't decide between them so why not have both? Without MOE cause gpu poor :3

With my own tests it gives kuro-lotus like results without the requirement for a highly detailed character card and stays coherent when roping up to 8K context.

I personally use the "Universal Light" preset in silly tavern, with "alpaca" the results can be short but are longer with "alpaca roleplay".

"Universal Light" preset can be extremely creative but sometimes likes to act for user with some cards, for those i like just the "default" but any preset seems to work!

# merge

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 SLERP merge method.

### Models Merged

The following models were included in the merge:
* [Sao10K/Fimbulvetr-10.7B-v1](https://huggingface.co/Sao10K/Fimbulvetr-10.7B-v1)
* [saishf/Kuro-Lotus-10.7B](https://huggingface.co/saishf/Kuro-Lotus-10.7B)

### Configuration

The following YAML configuration was used to produce this model:

```yaml
slices:
  - sources:
      - model: saishf/Kuro-Lotus-10.7B
        layer_range: [0, 48]
      - model: Sao10K/Fimbulvetr-10.7B-v1
        layer_range: [0, 48]
merge_method: slerp
base_model: saishf/Kuro-Lotus-10.7B
parameters:
  t:
    - filter: self_attn
      value: [0.6, 0.7, 0.8, 0.9, 1]
    - filter: mlp
      value: [0.4, 0.3, 0.2, 0.1, 0]
    - value: 0.5
dtype: bfloat16

```