Instructions to use mergekit-community/MN-Slush-Wayfarer with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mergekit-community/MN-Slush-Wayfarer with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("mergekit-community/MN-Slush-Wayfarer", dtype="auto") - Notebooks
- Google Colab
- Kaggle
merge
This is a merge of pre-trained language models created using mergekit.
Merge Details
Merge Method
This model was merged using the SLERP merge method.
Models Merged
The following models were included in the merge:
Configuration
The following YAML configuration was used to produce this model:
slices:
- sources:
- model: LatitudeGames/Wayfarer-12B
layer_range: [0, 32]
- model: crestf411/MN-Slush
layer_range: [0, 32]
merge_method: slerp
base_model: crestf411/MN-Slush
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
- Downloads last month
- 2
Inference Providers NEW
This model isn't deployed by any Inference Provider. 🙋 Ask for provider support