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:
- cb440646289f720587735efac601d879c340bdbcfdf8a0d31e475e27d6481f76
- Size of remote file:
- 27.1 MB
- SHA256:
- 27a45fd600a4e697d4dc9d35e61432cdd497e0f0bb232183c464fcabd29706b9
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.