Instructions to use SparseLLM/swiglu-80B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use SparseLLM/swiglu-80B with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("SparseLLM/swiglu-80B", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 131 Bytes
93aa136 | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:dadfd56d766715c61d2ef780a525ab43b8e6da4de6865bda3d95fdef5e134055
size 493443
|