Instructions to use huggingkot/Dolphin3.0-Llama3.1-8B-q4f16_1-MLC with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLC-LLM
How to use huggingkot/Dolphin3.0-Llama3.1-8B-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:
- 2bf3dc42ac1a81f2b6418227b1cc784f9e6ebab53d7ca2cb1ffe4575ae105349
- Size of remote file:
- 32.8 MB
- SHA256:
- 87cf3da574f841cfbd38e3d0b0c6c2e8ace0cc637f8cef2628c7271508ec3ec2
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.