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base_model:
- macadeliccc/WestLake-7B-v2-laser-truthy-dpo
- yam-peleg/Experiment26-7B
- mistralai/Mistral-7B-Instruct-v0.2
- mayflowergmbh/Wiedervereinigung-7b-dpo
library_name: transformers
tags:
- mergekit
- merge
license: apache-2.0
language:
- de
---
# obazda2
This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit).
# Benchmark
This model has not been dpo-aligned yet.
```json
{
"first_turn": 6.79375,
"second_turn": 6.275,
"categories": {
"writing": 7.5,
"roleplay": 7.65,
"reasoning": 5.45,
"math": 2.55,
"coding": 4.8,
"extraction": 7.2,
"stem": 8.275,
"humanities": 8.85
},
"average": 6.534375000000001
}
```
## 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 [mistralai/Mistral-7B-Instruct-v0.2](https://huggingface.co/mistralai/Mistral-7B-Instruct-v0.2) as a base.
### Models Merged
The following models were included in the merge:
* [macadeliccc/WestLake-7B-v2-laser-truthy-dpo](https://huggingface.co/macadeliccc/WestLake-7B-v2-laser-truthy-dpo)
* [yam-peleg/Experiment26-7B](https://huggingface.co/yam-peleg/Experiment26-7B)
* [mayflowergmbh/Wiedervereinigung-7b-dpo](https://huggingface.co/mayflowergmbh/Wiedervereinigung-7b-dpo)
### Configuration
The following YAML configuration was used to produce this model:
```yaml
models:
- model: mistralai/Mistral-7B-Instruct-v0.2
# no parameters necessary for base model
- model: yam-peleg/Experiment26-7B
parameters:
density: 0.60
weight: 0.30
- model: mayflowergmbh/Wiedervereinigung-7b-dpo
parameters:
density: 0.65
weight: 0.40
- model: macadeliccc/WestLake-7B-v2-laser-truthy-dpo
parameters:
density: 0.6
weight: 0.3
merge_method: dare_ties
base_model: mistralai/Mistral-7B-Instruct-v0.2
parameters:
int8_mask: true
tokenizer_source: union
dtype: bfloat16
random_seed: 42
``` |