Instructions to use Jeethu/Mistral-Nemo-Instruct-2407-PLLM with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLC-LLM
How to use Jeethu/Mistral-Nemo-Instruct-2407-PLLM 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:
- a5d913109b3e33c888c6d4d924972aa76dcadfc9ff235a2a5d7b17dc315f756b
- Size of remote file:
- 36.7 MB
- SHA256:
- 5d9fd149e3f4bbc9a999c0eece952d2c72de6e2ae4c93ed70b1660530d49e443
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.