Brezn-7B-WIP2 / README.md
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---
base_model:
- FelixChao/WestSeverus-7B-DPO-v2
- DiscoResearch/DiscoLM_German_7b_v1
- cognitivecomputations/openchat-3.5-0106-laser
- mayflowergmbh/Wiedervereinigung-7b-dpo-laser
library_name: transformers
tags:
- mergekit
- merge
---
# Brezn-7b
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 [DARE](https://arxiv.org/abs/2311.03099) [TIES](https://arxiv.org/abs/2306.01708) merge method using [DiscoResearch/DiscoLM_German_7b_v1](https://huggingface.co/DiscoResearch/DiscoLM_German_7b_v1) as a base.
### Models Merged
The following models were included in the merge:
* [FelixChao/WestSeverus-7B-DPO-v2](https://huggingface.co/FelixChao/WestSeverus-7B-DPO-v2)
* [cognitivecomputations/openchat-3.5-0106-laser](https://huggingface.co/cognitivecomputations/openchat-3.5-0106-laser)
* [mayflowergmbh/Wiedervereinigung-7b-dpo-laser](https://huggingface.co/mayflowergmbh/Wiedervereinigung-7b-dpo-laser)
### Configuration
The following YAML configuration was used to produce this model:
```yaml
models:
- model: DiscoResearch/DiscoLM_German_7b_v1
# no parameters necessary for base model
- model: FelixChao/WestSeverus-7B-DPO-v2
parameters:
density: 0.60
weight: 0.30
- model: mayflowergmbh/Wiedervereinigung-7b-dpo-laser
parameters:
density: 0.65
weight: 0.40
- model: cognitivecomputations/openchat-3.5-0106-laser
parameters:
density: 0.6
weight: 0.3
merge_method: dare_ties
base_model: DiscoResearch/DiscoLM_German_7b_v1
parameters:
int8_mask: true
tokenizer_source: base
dtype: bfloat16
random_seed: 0
```