Instructions to use mlc-ai/SmolLM-1.7B-Instruct-q0f32-MLC with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLC-LLM
How to use mlc-ai/SmolLM-1.7B-Instruct-q0f32-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:
- c416ef8dce517968c75b43da5d627b096f139b2b996441c74667f482e65d7a7c
- Size of remote file:
- 25.2 MB
- SHA256:
- 98c12e82cfc0326ec29bdb76c96c96179c167e1bdcda2bfbbb7a9e7f84e6ba01
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.