README.md

![image/png](https://cdn-uploads.huggingface.co/production/uploads/63cf23cffbd0cc580bc65c73/QDvxvuS3M7oHv7JI5d1ke.png)

Custom Model "Dolphin2Star1" Merged by Noodlz.
12.5B linear merged from the uncensored mistral 7B v0.2 as the base, with the fine tunes of StarlingLM 7B Beta that's originally mistral 7B v0.1

have fun =)



---
license: apache-2.0
---


---
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
```