yi-bagel-2x34b / README.md
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---
base_model:
- jondurbin/bagel-dpo-34b-v0.2
- jondurbin/nontoxic-bagel-34b-v0.2
tags:
- mergekit
- merge
license: other
license_name: yi-license
license_link: https://huggingface.co./01-ai/Yi-34B-200K/blob/main/LICENSE
---
# yi-bagel-2x34b
Released January 11, 2024
![bagel-burger](bagel-burger.png)
This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit). For more information, kindly refer to the model cards from jondurbin linked in a section below.
## Merge Details
### Merge Method
This model is an expertimental merge using the [linear](https://arxiv.org/abs/2203.05482) merge method. This is to assess the degree of which the DPO has an effect, in terms of censoring, as used in [jondurbin/bagel-dpo-34b-v0.2](https://huggingface.co./jondurbin/bagel-dpo-34b-v0.2).
### Models Merged
The following models were included in the merge:
* [jondurbin/bagel-dpo-34b-v0.2](https://huggingface.co./jondurbin/bagel-dpo-34b-v0.2)
* [jondurbin/nontoxic-bagel-34b-v0.2](https://huggingface.co./jondurbin/nontoxic-bagel-34b-v0.2)
### Configuration
The following YAML configuration was used to produce this model:
```yaml
models:
- model: jondurbin/nontoxic-bagel-34b-v0.2
parameters:
weight: 0.5
- model: jondurbin/bagel-dpo-34b-v0.2
parameters:
weight: 0.5
merge_method: linear
dtype: float16
```