Instructions to use mlc-ai/Qwen2.5-Math-72B-Instruct-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/Qwen2.5-Math-72B-Instruct-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_101.bin from mlc-ai/Qwen2.5-Math-72B-Instruct-q4f32_1-MLC: direct link, hf CLI and curl.
- Browser
- Download file 41.9 MB
-
https://huggingface.co/mlc-ai/Qwen2.5-Math-72B-Instruct-q4f32_1-MLC/resolve/main/params_shard_101.bin
- Command line
-
hf download hf://mlc-ai/Qwen2.5-Math-72B-Instruct-q4f32_1-MLC/params_shard_101.bin
-
curl -L -o params_shard_101.bin https://huggingface.co/mlc-ai/Qwen2.5-Math-72B-Instruct-q4f32_1-MLC/resolve/main/params_shard_101.bin
41.9 MB
- Xet hash:
- 1f320215ba82e4b213df8b8f8da905535e0d85aaf31915c436a9ed0c0888ac7c
- Size of remote file:
- 41.9 MB
- SHA256:
- 495503e6a831717415edea5e90776df59b62f37113e22125dd5f0cdb2be319e4
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.