Instructions to use huggingkot/Lumimaid-v0.2-8B-q4f16_1-MLC with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLC-LLM
How to use huggingkot/Lumimaid-v0.2-8B-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:
- 5cf4802b636f634fbaf94ae85a7c09d5b03602c98879900a1de466d8466ab80c
- Size of remote file:
- 9.44 MB
- SHA256:
- 39a727ce295b6f8fd00a2589a54fde770b1153606ee4cc740083b0e1f6d567c9
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.