Instructions to use mlc-ai/SmolLM2-1.7B-Instruct-q0f16-MLC with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLC-LLM
How to use mlc-ai/SmolLM2-1.7B-Instruct-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
Download params_shard_0.bin from mlc-ai/SmolLM2-1.7B-Instruct-q0f16-MLC: direct link, hf CLI and curl.
- Browser
- Download file 201 MB
-
https://huggingface.co/mlc-ai/SmolLM2-1.7B-Instruct-q0f16-MLC/resolve/main/params_shard_0.bin
- Command line
-
hf download hf://mlc-ai/SmolLM2-1.7B-Instruct-q0f16-MLC/params_shard_0.bin
-
curl -L -o params_shard_0.bin https://huggingface.co/mlc-ai/SmolLM2-1.7B-Instruct-q0f16-MLC/resolve/main/params_shard_0.bin
201 MB
- Xet hash:
- 1facbb57aa4fa7e8196c149fd76028d70f7594d435deca194b745568c2be5d4b
- Size of remote file:
- 201 MB
- SHA256:
- 4d4d761ff711e29e7d36cfaf9096ff83808c8efb8c8816af1c4b41a097996fa3
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