README.md

metadata

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.

---

Model details:

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 merge method using 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
• nbeerbower/Qwen2.5-Gutenberg-Doppel-14B

Configuration

The following YAML configuration was used to produce this model:

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