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:
- 1f6f1dceb4904b21ae66e533815177129d4ec766493c20ca483bef66799288d4
- Size of remote file:
- 28.1 MB
- SHA256:
- 576cac8b5186676e46e29b1fc733591f5e62f0d2e8fdd85dac7110acc4fb9c1b
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.