Instructions to use naklitechie/LFM2.5-8B-A1B-q4f16_1-MLC with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLC-LLM
How to use naklitechie/LFM2.5-8B-A1B-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:
- 3dc3c9c1c71e7a9ffcb5f31ce7afb2f0e643bc93eccc274882d633c3766936de
- Size of remote file:
- 58.7 MB
- SHA256:
- 38ab14ccabc52b796cfc972fe13418c532966923513c8bc2f994fd960bceb0ad
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.