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:
- f663a5bb8c1a5cb1112d60c2d2dfe995979300ae9c7f7eee6976150027a84ef7
- Size of remote file:
- 28.1 MB
- SHA256:
- 9de239773dec5389e466701d237dee582c0e5568d94f0a5286e392b48cc2ce72
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.