Instructions to use mlc-ai/phi-1_5-q0f32-MLC with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLC-LLM
How to use mlc-ai/phi-1_5-q0f32-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
Download params_shard_42.bin from mlc-ai/phi-1_5-q0f32-MLC: direct link, hf CLI and curl.
- Browser
- Download file 33.6 MB
-
https://huggingface.co/mlc-ai/phi-1_5-q0f32-MLC/resolve/main/params_shard_42.bin
- Command line
-
hf download hf://mlc-ai/phi-1_5-q0f32-MLC/params_shard_42.bin
-
curl -L -o params_shard_42.bin https://huggingface.co/mlc-ai/phi-1_5-q0f32-MLC/resolve/main/params_shard_42.bin
33.6 MB
- Xet hash:
- d42c5bc55e76d9ef4b43341a5db71cd4d0aa44da09384160b5b8f83c7a5a989e
- Size of remote file:
- 33.6 MB
- SHA256:
- 5a8c2d2775d02d6c38986d6f4901def66bf86335d0d57f73a7faa6b82b815cb2
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.