README.md

---
base_model:
- huihui-ai/Qwen2.5-14B-Instruct-abliterated-v2
- rombodawg/Rombos-LLM-V2.6-Qwen-14b
- nbeerbower/Qwen2.5-Gutenberg-Doppel-14B
library_name: transformers
tags:
- mergekit
- merge
license: apache-2.0
---
# merge

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

---
Model details:
-
![image/webp](https://cdn-uploads.huggingface.co/production/uploads/66c1cc08453a7ef6c5fe657a/fdMmP6oLy11PYZCBp3t2S.webp)

*He'll be back... or something.*

Quants can be found here:
-
https://huggingface.co/mradermacher/Robo-Gutenberg_V1.0-GGUF

https://huggingface.co/mradermacher/Robo-Gutenberg_V1.0-i1-GGUF

---
## Merge Method

This model was merged using the [TIES](https://arxiv.org/abs/2306.01708) merge method using [rombodawg/Rombos-LLM-V2.6-Qwen-14b](https://huggingface.co/rombodawg/Rombos-LLM-V2.6-Qwen-14b) as a base.

### Models Merged

The following models were included in the merge:
* [huihui-ai/Qwen2.5-14B-Instruct-abliterated-v2](https://huggingface.co/huihui-ai/Qwen2.5-14B-Instruct-abliterated-v2)
* [nbeerbower/Qwen2.5-Gutenberg-Doppel-14B](https://huggingface.co/nbeerbower/Qwen2.5-Gutenberg-Doppel-14B)

### Configuration

The following YAML configuration was used to produce this model:

```yaml
models:
  - model: rombodawg/Rombos-LLM-V2.6-Qwen-14b
    #no parameters necessary for base model
  - model: nbeerbower/Qwen2.5-Gutenberg-Doppel-14B
    parameters:
      density: 0.7
      weight: 0.7
  - model: huihui-ai/Qwen2.5-14B-Instruct-abliterated-v2
    parameters:
      density: 0.5
      weight: 0.5

merge_method: ties
base_model: rombodawg/Rombos-LLM-V2.6-Qwen-14b
parameters:
  normalize: false
  int8_mask: true
dtype: float16
```