Instructions to use mergekit-community/one-layer-tiny-mistral with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mergekit-community/one-layer-tiny-mistral with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("mergekit-community/one-layer-tiny-mistral", 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 passthrough 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: PJMixers-Archive/tiny-mistral-safetensors
layer_range: [0, 1]
merge_method: passthrough
dtype: bfloat16
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Base model
PJMixers-Archive/tiny-mistral-safetensors
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("mergekit-community/one-layer-tiny-mistral", dtype="auto")