---
base_model:
- Sao10K/14B-Qwen2.5-Kunou-v1
- v000000/Qwen2.5-Lumen-14B
- v000000/Qwen2.5-14B-Gutenberg-1e-Delta
- huihui-ai/Qwen2.5-14B-Instruct-abliterated-v2
library_name: transformers
tags:
- mergekit
- merge

---

# 14b-Qwen2.5-Infermatic-Crea-v2

#### This was made thanks to [infermatic.ai](https://infermatic.ai/)

This version is slightly more uncensored than the V1, both are good at describing things (like feelings, places, objects, situations and so on)

#### Probably will release soon new recommended settings for this model on the settings archive on [Infermatic.ai](https://infermatic.ai/)

pd. if you have refusals it can be fixed with good settings and prompts (or probably with a swipe)


### Any feedback can be shared on our [discord](https://discord.gg/infermatic-ai-1115287912385351730) server 

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 [Model Stock](https://arxiv.org/abs/2403.19522) merge method using [huihui-ai/Qwen2.5-14B-Instruct-abliterated-v2](https://huggingface.co/huihui-ai/Qwen2.5-14B-Instruct-abliterated-v2) as a base.

### Models Merged

The following models were included in the merge:
* [Sao10K/14B-Qwen2.5-Kunou-v1](https://huggingface.co/Sao10K/14B-Qwen2.5-Kunou-v1)
* [v000000/Qwen2.5-Lumen-14B](https://huggingface.co/v000000/Qwen2.5-Lumen-14B)
* [v000000/Qwen2.5-14B-Gutenberg-1e-Delta](https://huggingface.co/v000000/Qwen2.5-14B-Gutenberg-1e-Delta)

### Configuration

The following YAML configuration was used to produce this model:

```yaml
name:                Qwen2.5-14B-Infermatic-crea
merge_method:        model_stock
base_model:          huihui-ai/Qwen2.5-14B-Instruct-abliterated-v2
tokenizer_source:    base
parameters:
  int8_mask:         true
  normalize:         true
  rescale:           false
models:
  - model:           v000000/Qwen2.5-Lumen-14B
  - model:           v000000/Qwen2.5-14B-Gutenberg-1e-Delta
  - model:           Sao10K/14B-Qwen2.5-Kunou-v1
dtype:               bfloat16
out_dtype:           bfloat16

```