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:
- 4c9cd3fcb336796cdb4ded7191f1524b1450ca35b852ad5a7948e894f506a06f
- Size of remote file:
- 22 MB
- SHA256:
- 503b4368ce1ecc26bea9852020d121993133fb3c3fba2b1bc54ce91957c8d58e
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.