Calliope-7b / README.md
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---
base_model:
- Eric111/openchat-3.5-0106-128k-DPO_dpo-binarized-NeuralTrix-7B
- mistralai/Mistral-7B-v0.1
- Nexusflow/Starling-LM-7B-beta
- paulml/OmniBeagleSquaredMBX-v3-7B
- chargoddard/servile-harpsichord-cdpo
library_name: transformers
tags:
- mergekit
- merge
---
# Calliope-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 rescaled_sample merge method using [mistralai/Mistral-7B-v0.1](https://huggingface.co/mistralai/Mistral-7B-v0.1) as a base.
### Models Merged
The following models were included in the merge:
* [Eric111/openchat-3.5-0106-128k-DPO_dpo-binarized-NeuralTrix-7B](https://huggingface.co/Eric111/openchat-3.5-0106-128k-DPO_dpo-binarized-NeuralTrix-7B)
* [Nexusflow/Starling-LM-7B-beta](https://huggingface.co/Nexusflow/Starling-LM-7B-beta)
* [paulml/OmniBeagleSquaredMBX-v3-7B](https://huggingface.co/paulml/OmniBeagleSquaredMBX-v3-7B)
* [chargoddard/servile-harpsichord-cdpo](https://huggingface.co/chargoddard/servile-harpsichord-cdpo)
### Configuration
The following YAML configuration was used to produce this model:
```yaml
models:
- model: Nexusflow/Starling-LM-7B-beta
parameters:
weight: 0.5
density: 0.5
- model: Eric111/openchat-3.5-0106-128k-DPO_dpo-binarized-NeuralTrix-7B
parameters:
weight: 0.3
density: 0.3
- model: paulml/OmniBeagleSquaredMBX-v3-7B
parameters:
weight: 0.2
density: 0.2
- model: chargoddard/servile-harpsichord-cdpo
parameters:
weight: 0.3
density: 0.3
merge_method: rescaled_sample
base_model: mistralai/Mistral-7B-v0.1
parameters:
int8_mask: true
dtype: bfloat16
```