Text Generation
Shadow
English
small-language-model
cpu
retrieval
memory-on-disk
ternary
offline
edge
Instructions to use QLNI/shadow-50m-instruct with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Shadow
How to use QLNI/shadow-50m-instruct with Shadow:
# 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 shadow50_instruct.shdw from QLNI/shadow-50m-instruct: direct link, hf CLI and curl.
- Browser
- Download file 19.8 MB
-
https://huggingface.co/QLNI/shadow-50m-instruct/resolve/main/shadow50_instruct.shdw
- Command line
-
hf download hf://QLNI/shadow-50m-instruct/shadow50_instruct.shdw
-
curl -L -o shadow50_instruct.shdw https://huggingface.co/QLNI/shadow-50m-instruct/resolve/main/shadow50_instruct.shdw
19.8 MB
- Xet hash:
- 08598e4a79f2f1b1b8eb1e4dc284215492568258ff1e737bc813dda1a35318b4
- Size of remote file:
- 19.8 MB
- SHA256:
- ed322b8882e7e67c7650060113f0f9e2bbf486169284b1681b403ee2c468e196
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