blockblockblock's picture
Upload folder using huggingface_hub
dce9d98 verified
---
tags:
- text-generation
- autotrain_compatible
- endpoints_compatible
- chatml
- text-generation-inference
- transformers
- slerp
- mistral
- mergekit
- merge
base_model:
- yam-peleg/Experiment26-7B
- cognitivecomputations/dolphin-2.8-experiment26-7b
library_name: transformers
license: apache-2.0
language:
- en
pipeline_tag: text-generation
thumbnail: "https://huggingface.co/pabloce/Dolphin-2.8-slerp/resolve/main/Dolphin-28-slerp.jpeg"
---
# Dolphin-2.8-slerp - merge
![image/png](https://huggingface.co/pabloce/Dolphin-2.8-slerp/resolve/main/Dolphin-28-slerp.jpeg)
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 SLERP merge method.
### Models Merged
The following models were included in the merge:
* [yam-peleg/Experiment26-7B](https://huggingface.co/yam-peleg/Experiment26-7B)
* [cognitivecomputations/dolphin-2.8-experiment26-7b](https://huggingface.co/cognitivecomputations/dolphin-2.8-experiment26-7b)
### Configuration
The following YAML configuration was used to produce this model:
```yaml
slices:
- sources:
- model: yam-peleg/Experiment26-7B
layer_range: [0, 32]
- model: cognitivecomputations/dolphin-2.8-experiment26-7b
layer_range: [0, 32]
merge_method: slerp
base_model: yam-peleg/Experiment26-7B
parameters:
t:
- filter: self_attn
value: [0, 0.5, 0.3, 0.7, 1]
- filter: mlp
value: [1, 0.5, 0.7, 0.3, 0]
- value: 0.5
dtype: bfloat16
```