README.md

---
base_model:
- OpenPipe/mistral-ft-optimized-1218
- macadeliccc/WestLake-7B-v2-laser-truthy-dpo
library_name: transformers
tags:
- mergekit
- merge
license: cc-by-nc-4.0
---

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

I have provided a .gguf Q4_K_M for cpu inference as well. 

This repository serves as a learning experience for myself to experiment with merged models & gguf conversions.

Credits:
* mergekit
* llama.cpp

## Merge Details
### Merge Method

This model was merged using the SLERP merge method.

### Models Merged

The following models were included in the merge:
* [OpenPipe/mistral-ft-optimized-1218](https://huggingface.co/OpenPipe/mistral-ft-optimized-1218)
* [macadeliccc/WestLake-7B-v2-laser-truthy-dpo](https://huggingface.co/macadeliccc/WestLake-7B-v2-laser-truthy-dpo)

### Configuration

The following YAML configuration was used to produce this model:

```yaml
slices:
  - sources:
      - model: OpenPipe/mistral-ft-optimized-1218
        layer_range: [0, 32]
      - model: macadeliccc/WestLake-7B-v2-laser-truthy-dpo
        layer_range: [0, 32]
merge_method: slerp
base_model: OpenPipe/mistral-ft-optimized-1218
parameters:
  t:
    - filter: self_attn
      value: [0, 0.5, 0.3, 0.7, 1]
    - filter: mlp
      value: [1, 0.5, 0.7, 0.3, 0]
    - value: 0.5
dtype: bfloat16
```