Instructions to use mlc-ai/Llama-2-7b-chat-hf-q0f16-MLC with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLC-LLM
How to use mlc-ai/Llama-2-7b-chat-hf-q0f16-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:
- f0aa18cf2485321f139b5ae7a7f921c579163ecfa02cb4834b5010e842eacdfb
- Size of remote file:
- 90.2 MB
- SHA256:
- fac7c9231aeb4cbf40c86d2efa8dbfdae0f935678e89d0ed1e5932843b46a63b
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.