Instructions to use mlc-ai/Qwen2-Math-1.5B-Instruct-q0f16-MLC with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLC-LLM
How to use mlc-ai/Qwen2-Math-1.5B-Instruct-q0f16-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_0.bin from mlc-ai/Qwen2-Math-1.5B-Instruct-q0f16-MLC: direct link, hf CLI and curl.
- Browser
- Download file 467 MB
-
https://huggingface.co/mlc-ai/Qwen2-Math-1.5B-Instruct-q0f16-MLC/resolve/main/params_shard_0.bin
- Command line
-
hf download hf://mlc-ai/Qwen2-Math-1.5B-Instruct-q0f16-MLC/params_shard_0.bin
-
curl -L -o params_shard_0.bin https://huggingface.co/mlc-ai/Qwen2-Math-1.5B-Instruct-q0f16-MLC/resolve/main/params_shard_0.bin
467 MB
- Xet hash:
- 84c3600ec340574aec1a5349e6dcc75a2789a60be87640f64f27091518d49a60
- Size of remote file:
- 467 MB
- SHA256:
- 9a6cf3e15136d8fca0cfb3340acada3c42053c4f4a6a83297a4c903e32f396f5
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