Instructions to use huggingkot/DeepScaleR-1.5B-Preview-q4f16_1-MLC with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLC-LLM
How to use huggingkot/DeepScaleR-1.5B-Preview-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:
- 9f21febef97b2a2037212af44b1471f583bb6091af98b014aa40d33c8f744085
- Size of remote file:
- 32.3 MB
- SHA256:
- 8ed66b467587a2b9849d55a1a0921d71f5e180944a18e77a0c25b47bcbc54fc2
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.