Enhance model card: Add pipeline tag, library, usage, and detailed metadata
#1
by
nielsr
HF Staff
- opened
This PR significantly enhances the model card for MiroMind-M1-RL-32B
by:
- Adding comprehensive metadata: Including
pipeline_tag: text-generation
,library_name: transformers
, and relevanttags
(mathematical-reasoning
,qwen
,large-language-model
) for improved discoverability and integration with the Hugging Face ecosystem. Thedatasets
used for training are also added to the metadata for transparency. - Integrating a "Usage" section: Providing a clear Python code example for direct inference with the
transformers
library, which was previously missing. This makes it much easier for users to get started with the model. - Adding a "Citation" section: Including the correct BibTeX entry for the associated paper, ensuring proper attribution.
- Streamlining content: Consolidating detailed "Getting Started", "Training", and "Evaluation" instructions into a single section that refers to the GitHub repository, making the model card more concise and focused on the model itself while still providing access to comprehensive information.
These updates aim to improve the model's visibility, usability, and adherence to best practices on the Hugging Face Hub.