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:
- d84b7c01f8051c4f0fcc85018cbb27322b9f05d596d229979ea39b51e64fcf4a
- Size of remote file:
- 31.6 MB
- SHA256:
- 4a9d824da10ffc8cccd4d13623255fc9167b4064c177ef2ae5bbc6098a252d8f
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.