Instructions to use mlc-ai/Qwen3-14B-q4f32_1-MLC with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLC-LLM
How to use mlc-ai/Qwen3-14B-q4f32_1-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_10.bin from mlc-ai/Qwen3-14B-q4f32_1-MLC: direct link, hf CLI and curl.
- Browser
- Download file 44.6 MB
-
https://huggingface.co/mlc-ai/Qwen3-14B-q4f32_1-MLC/resolve/437a41612cce35b12a058561b994ad1f28f2f2ab/params_shard_10.bin
- Command line
-
hf download hf://mlc-ai/Qwen3-14B-q4f32_1-MLC@437a41612cce35b12a058561b994ad1f28f2f2ab/params_shard_10.bin
-
curl -L -o params_shard_10.bin https://huggingface.co/mlc-ai/Qwen3-14B-q4f32_1-MLC/resolve/437a41612cce35b12a058561b994ad1f28f2f2ab/params_shard_10.bin
44.6 MB
- Xet hash:
- 6190734e9a0720d8d6f99724e3ec129eed08a62f14024cfe46b70911bf34cc36
- Size of remote file:
- 44.6 MB
- SHA256:
- 2b97ef0a5a5a0f3d028ce4e7236d39182ba83e2ccb09a67166ba911585fa336c
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