Instructions to use mlc-ai/gemma-3-1b-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-3-1b-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_12.bin from mlc-ai/gemma-3-1b-it-q0f32-MLC: direct link, hf CLI and curl.
- Browser
- Download file 21.8 MB
-
https://huggingface.co/mlc-ai/gemma-3-1b-it-q0f32-MLC/resolve/c8ab88d587a2599da367ad3dfac1f423f98f4e9b/params_shard_12.bin
- Command line
-
hf download hf://mlc-ai/gemma-3-1b-it-q0f32-MLC@c8ab88d587a2599da367ad3dfac1f423f98f4e9b/params_shard_12.bin
-
curl -L -o params_shard_12.bin https://huggingface.co/mlc-ai/gemma-3-1b-it-q0f32-MLC/resolve/c8ab88d587a2599da367ad3dfac1f423f98f4e9b/params_shard_12.bin
21.8 MB
- Xet hash:
- 4489cdfa034a4b20b78dfb87b104621faf004edc8c1b4d8a76c6e6dab4dd5282
- Size of remote file:
- 21.8 MB
- SHA256:
- 51980fc502f9622d773d0a84a47a2f866bb9035229a9f9d49c060732d0844e07
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.