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---
base_model:
- mllm-dev/gpt2_f_experiment_2_1000
- mllm-dev/gpt2_f_experiment_1_1000
- mllm-dev/gpt2_f_experiment_4_1000
- mllm-dev/gpt2_f_experiment_0_1000
- mllm-dev/gpt2_f_experiment_3_1000
library_name: transformers
tags:
- mergekit
- merge
---
# sean_test_merge_out
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 [mllm-dev/gpt2_f_experiment_0_1000](https://huggingface.co/mllm-dev/gpt2_f_experiment_0_1000) as a base.
### Models Merged
The following models were included in the merge:
* [mllm-dev/gpt2_f_experiment_2_1000](https://huggingface.co/mllm-dev/gpt2_f_experiment_2_1000)
* [mllm-dev/gpt2_f_experiment_1_1000](https://huggingface.co/mllm-dev/gpt2_f_experiment_1_1000)
* [mllm-dev/gpt2_f_experiment_4_1000](https://huggingface.co/mllm-dev/gpt2_f_experiment_4_1000)
* [mllm-dev/gpt2_f_experiment_3_1000](https://huggingface.co/mllm-dev/gpt2_f_experiment_3_1000)
### Configuration
The following YAML configuration was used to produce this model:
```yaml
base_model:
model:
path: mllm-dev/gpt2_f_experiment_0_1000
dtype: float16
merge_method: dare_ties
parameters:
normalize: 1.0
slices:
- sources:
- layer_range: [0, 12]
model:
model:
path: mllm-dev/gpt2_f_experiment_0_1000
- layer_range: [0, 12]
model:
model:
path: mllm-dev/gpt2_f_experiment_1_1000
parameters:
density: 0.8
weight: 0.3
- layer_range: [0, 12]
model:
model:
path: mllm-dev/gpt2_f_experiment_2_1000
parameters:
density: 0.6
weight: 0.1
- layer_range: [0, 12]
model:
model:
path: mllm-dev/gpt2_f_experiment_3_1000
parameters:
density: 0.6
weight: 0.1
- layer_range: [0, 12]
model:
model:
path: mllm-dev/gpt2_f_experiment_4_1000
parameters:
density: 0.8
weight: 0.3
```
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