Instructions to use mlc-ai/Hermes-3-Llama-3.1-8B-q4f16_1-MLC with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLC-LLM
How to use mlc-ai/Hermes-3-Llama-3.1-8B-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:
- 9d36a7f8608c4cab62d3f616bde7a63d2c801943ea9f769094931c113eb52513
- Size of remote file:
- 29.4 MB
- SHA256:
- ace6cc732324fbe5d9ca0e3f49163d6860bc8e455d844c23505e3444695b90de
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.