Instructions to use TheBloke/llama2_7b_chat_uncensored-GGML with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use TheBloke/llama2_7b_chat_uncensored-GGML with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("TheBloke/llama2_7b_chat_uncensored-GGML", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a36b1efcc2dcefb9b074253ff571ba6368eae6ec1961c1e51c004d56e86d9eee
- Size of remote file:
- 5.53 GB
- SHA256:
- 917e34a16865a3120df5ad6fd23ca6060aa93f8b2684478e915dae2024849559
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.