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Custom Model "Dolphin2Star1" Merged by Noodlz.
---
base_model:
- cognitivecomputations/dolphin-2.8-mistral-7b-v02
- NexusFlow/Starling-LM-7B-beta
library_name: transformers
tags:
- mergekit
- merge
---
# output_folder
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 [linear](https://arxiv.org/abs/2203.05482) merge method.
### Models Merged
The following models were included in the merge:
* [cognitivecomputations/dolphin-2.8-mistral-7b-v02](https://huggingface.co/cognitivecomputations/dolphin-2.8-mistral-7b-v02)
* [NexusFlow/Starling-LM-7B-beta](https://huggingface.co/NexusFlow/Starling-LM-7B-beta)
### Configuration
The following YAML configuration was used to produce this model:
```yaml
merge_method: linear
parameters:
weight: 1.0
slices:
- sources:
- model: cognitivecomputations/dolphin-2.8-mistral-7b-v02
layer_range: [0,1]
- model: NexusFlow/Starling-LM-7B-beta
layer_range: [0,1]
parameters:
weight: 0
- sources:
- model: cognitivecomputations/dolphin-2.8-mistral-7b-v02
layer_range: [1,8]
- sources:
- model: NexusFlow/Starling-LM-7B-beta
layer_range: [4,12]
- sources:
- model: cognitivecomputations/dolphin-2.8-mistral-7b-v02
layer_range: [8,16]
- sources:
- model: NexusFlow/Starling-LM-7B-beta
layer_range: [12,20]
- sources:
- model: cognitivecomputations/dolphin-2.8-mistral-7b-v02
layer_range: [16,24]
- sources:
- model: NexusFlow/Starling-LM-7B-beta
layer_range: [20,28]
- sources:
- model: cognitivecomputations/dolphin-2.8-mistral-7b-v02
layer_range: [24,31]
- sources:
- model: cognitivecomputations/dolphin-2.8-mistral-7b-v02
layer_range: [31,32]
- model: NexusFlow/Starling-LM-7B-beta
layer_range: [31,32]
parameters:
weight: 0
dtype: float16
tokenizer_source: model:cognitivecomputations/dolphin-2.8-mistral-7b-v02
```
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