Instructions to use mlc-ai/gemma-3-27b-it-q4bf16_0-MLC with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLC-LLM
How to use mlc-ai/gemma-3-27b-it-q4bf16_0-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_124.bin from mlc-ai/gemma-3-27b-it-q4bf16_0-MLC: direct link, hf CLI and curl.
- Browser
- Download file 116 MB
-
https://huggingface.co/mlc-ai/gemma-3-27b-it-q4bf16_0-MLC/resolve/5d346a4a05c0a5c571ff2f31d91b5d26bf4b9cd8/params_shard_124.bin
- Command line
-
hf download hf://mlc-ai/gemma-3-27b-it-q4bf16_0-MLC@5d346a4a05c0a5c571ff2f31d91b5d26bf4b9cd8/params_shard_124.bin
-
curl -L -o params_shard_124.bin https://huggingface.co/mlc-ai/gemma-3-27b-it-q4bf16_0-MLC/resolve/5d346a4a05c0a5c571ff2f31d91b5d26bf4b9cd8/params_shard_124.bin
116 MB
- Xet hash:
- 424e37e30148efa88b9c4b40a7aebbc217cb957d38013a2e0940c93c9a7cfabd
- Size of remote file:
- 116 MB
- SHA256:
- 06726024560824073d3a62579944d153351607b2c184076b7c3949e027edd1c8
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