Instructions to use huggingkot/NeuralDaredevil-8B-abliterated-q4f16_1-MLC with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLC-LLM
How to use huggingkot/NeuralDaredevil-8B-abliterated-q4f16_1-MLC with MLC-LLM:
# No code snippets available yet for this library. # To use this model, check the repository files and the library's documentation. # Want to help? PRs adding snippets are welcome at: # https://github.com/huggingface/huggingface.js
- Notebooks
- Google Colab
- Kaggle
- Xet hash:
- af5d7c550ab85fb1b3430a9089af38084c1083a7aa32321bac0d4dc244c746a7
- Size of remote file:
- 22 MB
- SHA256:
- 540c8e62821c5c4c7ad84aecd2e9ba8883461496071a8343f5115464a180fb5d
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.