Instructions to use mlc-ai/gemma-2b-it-q0f32-MLC with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLC-LLM
How to use mlc-ai/gemma-2b-it-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_34.bin from mlc-ai/gemma-2b-it-q0f32-MLC: direct link, hf CLI and curl.
- Browser
- Download file 67.1 MB
-
https://huggingface.co/mlc-ai/gemma-2b-it-q0f32-MLC/resolve/main/params_shard_34.bin
- Command line
-
hf download hf://mlc-ai/gemma-2b-it-q0f32-MLC/params_shard_34.bin
-
curl -L -o params_shard_34.bin https://huggingface.co/mlc-ai/gemma-2b-it-q0f32-MLC/resolve/main/params_shard_34.bin
67.1 MB
- Xet hash:
- ba5aa911a415b6deb3876bb1dea2aff2e55e65c928f695ea151a5810cb78f529
- Size of remote file:
- 67.1 MB
- SHA256:
- 27913d12f755ddbb32eb116c09f643b6edea7e69894a30c0fdbfd86eb1b4c388
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