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:
- dd3e6e586e47dcf7e9055d86273c08b86d283240ddf2341d7ff185f9e4122f0b
- Size of remote file:
- 67.1 MB
- SHA256:
- d175b836ab63d7bf8ded007548ce23a3f5f872419c37a2e4f658af1561fe3a27
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.