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---
base_model:
- Sao10K/14B-Qwen2.5-Kunou-v1
- Qwen/Qwen2.5-14B-Instruct
- huihui-ai/Qwen2.5-14B-Instruct-abliterated-v2
- v000000/Qwen2.5-Lumen-14B
- v000000/Qwen2.5-14B-Gutenberg-1e-Delta
library_name: transformers
tags:
- mergekit
- merge
---
# 14b-Qwen2.5-Infermatic-Crea-v1
#### This was made thanks to [infermatic.ai](https://infermatic.ai/)
This models is good at describing things (like feelings, places, objects, situations and so on).
RP/Story writing
#### 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 [Qwen/Qwen2.5-14B-Instruct](https://huggingface.co/Qwen/Qwen2.5-14B-Instruct) 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)
* [huihui-ai/Qwen2.5-14B-Instruct-abliterated-v2](https://huggingface.co/huihui-ai/Qwen2.5-14B-Instruct-abliterated-v2)
* [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-Infermablit
merge_method: model_stock
base_model: Qwen/Qwen2.5-14B-Instruct
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
- model: huihui-ai/Qwen2.5-14B-Instruct-abliterated-v2
dtype: bfloat16
out_dtype: bfloat16
```