Instructions to use TheBloke/Luna-AI-Llama2-Uncensored-GGML with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use TheBloke/Luna-AI-Llama2-Uncensored-GGML with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("TheBloke/Luna-AI-Llama2-Uncensored-GGML", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 71138fd1655f6d34d4b035a36cebd7bd6b341b8cf49f22ffd59452aac947122e
- Size of remote file:
- 5.06 GB
- SHA256:
- 494cf42dbb1698b1284e295fbb11104d85d3623c038728eef22322892eb045cf
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.