Improve model card: Add pipeline tag, library name, code/project links, and sample usage
#1
by
nielsr
HF Staff
- opened
This PR enhances the model card for Klear-Reasoner-8B by:
- Adding
pipeline_tag: text-generationto accurately reflect the model's capabilities in long-form reasoning and code generation. This will also improve discoverability on the Hugging Face Hub (e.g., at https://huggingface.co/models?pipeline_tag=text-generation). - Including
library_name: transformersmetadata, as the model is compatible with the 🤗 Transformers library, enabling the "how to use" widget and further improving discoverability. - Adding a direct link to the main GitHub repository (
https://github.com/suu990901/Klear_Reasoner) and the project page (https://suu990901.github.io/KlearReasoner/) in the resource table for easier access to related resources. - Integrating a clear Python code snippet for sample usage, making it easier for users to get started with inference.
- Adding a detailed section on GPPO (Gradient-Preserving Clipping Policy Optimization) for a deeper understanding of the model's core innovation.
These updates improve the completeness and usability of the model card.