Multilingual-Multimodal-NLP

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IndustrialCoder-32B-GPTQ-INT4

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Multilingual-Multimodal-NLP 40

Hi! I'm Niels, part of the community science team at Hugging Face. I noticed that the model repository for InCoder-32B was missing a detailed model card and metadata.

This PR adds:

• Relevant metadata (pipeline_tag, library_name, and tags).
• A comprehensive README containing the model description, links to the paper and GitHub repository.
• A "Quickstart" code snippet to help users run the model using the transformers library.
• Performance highlights across industrial domains like chip design and GPU optimization.

A well-documented model card is essential for helping researchers and developers discover and use your work effectively.