---

base_model:
- migtissera/Tess-v2.5-Phi-3-medium-128k-14B
- jpacifico/Chocolatine-14B-Instruct-DPO-v1.2
library_name: transformers
tags:
- mergekit
- merge
license: apache-2.0

---

![](https://lh7-rt.googleusercontent.com/docsz/AD_4nXeiuCm7c8lEwEJuRey9kiVZsRn2W-b4pWlu3-X534V3YmVuVc2ZL-NXg2RkzSOOS2JXGHutDuyyNAUtdJI65jGTo8jT9Y99tMi4H4MqL44Uc5QKG77B0d6-JfIkZHFaUA71-RtjyYZWVIhqsNZcx8-OMaA?key=xt3VSDoCbmTY7o-cwwOFwQ)

# QuantFactory/Ph3della3-14B-GGUF
This is quantized version of [allknowingroger/Ph3della3-14B](https://huggingface.co/allknowingroger/Ph3della3-14B) created using llama.cpp

# Original Model Card

# 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 della_linear merge method using [jpacifico/Chocolatine-14B-Instruct-DPO-v1.2](https://huggingface.co/jpacifico/Chocolatine-14B-Instruct-DPO-v1.2) as a base.

### Models Merged

The following models were included in the merge:
* [migtissera/Tess-v2.5-Phi-3-medium-128k-14B](https://huggingface.co/migtissera/Tess-v2.5-Phi-3-medium-128k-14B)

### Configuration

The following YAML configuration was used to produce this model:

```yaml
models:
  - model: jpacifico/Chocolatine-14B-Instruct-DPO-v1.2
    parameters:
      weight: 0.5
      density: 0.8
  - model: migtissera/Tess-v2.5-Phi-3-medium-128k-14B
    parameters:
      weight: 0.5
      density: 0.8
merge_method: della_linear
base_model: jpacifico/Chocolatine-14B-Instruct-DPO-v1.2
parameters:
  epsilon: 0.05
  lambda: 1
  int8_mask: true
dtype: bfloat16
tokenzer_source: union

```