Instructions to use mlc-ai/Llama-3.2-3B-Instruct-q0f32-MLC with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLC-LLM
How to use mlc-ai/Llama-3.2-3B-Instruct-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_103.bin from mlc-ai/Llama-3.2-3B-Instruct-q0f32-MLC: direct link, hf CLI and curl.
- Browser
- Download file 18.9 MB
-
https://huggingface.co/mlc-ai/Llama-3.2-3B-Instruct-q0f32-MLC/resolve/main/params_shard_103.bin
- Command line
-
hf download hf://mlc-ai/Llama-3.2-3B-Instruct-q0f32-MLC/params_shard_103.bin
-
curl -L -o params_shard_103.bin https://huggingface.co/mlc-ai/Llama-3.2-3B-Instruct-q0f32-MLC/resolve/main/params_shard_103.bin
18.9 MB
- Xet hash:
- e5fce769d6430becc3a37ec449b5420ede9bfc6e49dabfa6ea12c018ef1f12bc
- Size of remote file:
- 18.9 MB
- SHA256:
- b33146928d9a6a93fbf4d565a26af4126cf122f0573cda0eded29cbc12877c4b
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