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---
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
``` |