Instructions to use mlc-ai/WizardMath-13B-V1.0-q4f16_1-MLC with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLC-LLM
How to use mlc-ai/WizardMath-13B-V1.0-q4f16_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_128.bin from mlc-ai/WizardMath-13B-V1.0-q4f16_1-MLC: direct link, hf CLI and curl.
- Browser
- Download file 33 MB
-
https://huggingface.co/mlc-ai/WizardMath-13B-V1.0-q4f16_1-MLC/resolve/main/params_shard_128.bin
- Command line
-
hf download hf://mlc-ai/WizardMath-13B-V1.0-q4f16_1-MLC/params_shard_128.bin
-
curl -L -o params_shard_128.bin https://huggingface.co/mlc-ai/WizardMath-13B-V1.0-q4f16_1-MLC/resolve/main/params_shard_128.bin
33 MB
- Xet hash:
- 349f07385c5cbd097bd85b7a69a7c80e7c5caa116a289a0c29f1f6029369f4fc
- Size of remote file:
- 33 MB
- SHA256:
- 32e394d5db11b72253d6f3a4631c6d16ac7a75cd53b043ba60a0e4b6a2e4aeb5
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