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---
base_model:
- liminerity/M7-7b
- ammarali32/multi_verse_model
library_name: transformers
tags:
- mergekit
- merge
---
# merge
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 [ammarali32/multi_verse_model](https://huggingface.co/ammarali32/multi_verse_model) as a base.
### Models Merged
The following models were included in the merge:
* [liminerity/M7-7b](https://huggingface.co/liminerity/M7-7b)
### Configuration
The following YAML configuration was used to produce this model:
```yaml
models:
- model: ammarali32/multi_verse_model
# No parameters necessary for base model
- model: liminerity/M7-7b
parameters:
density: 0.53
weight: 0.6
merge_method: dare_ties
base_model: ammarali32/multi_verse_model
parameters:
int8_mask: true
dtype: bfloat16
random_seed: 0
```
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