Visual Question Answering
Safetensors
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qwen3_vl
nielsr HF Staff commited on
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1 Parent(s): 377bb9e

Update pipeline tag and add library_name

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Hi,

This PR improves the model card by:
- Updating the `pipeline_tag` to `image-text-to-text` for better classification and discoverability.
- Adding `library_name: transformers` to the metadata, as the model architecture is supported by the Transformers library.
- Maintaining the existing detailed documentation, including performance results and citation.

Best,
Niels

Files changed (1) hide show
  1. README.md +7 -5
README.md CHANGED
@@ -1,13 +1,15 @@
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  ---
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- license: apache-2.0
 
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  datasets:
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  - OpenDataArena/MMFineReason-1.8M
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  language:
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  - en
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- pipeline_tag: visual-question-answering
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- base_model:
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- - Qwen/Qwen3-VL-4B-Instruct
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  ---
 
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  <div align="center">
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  <h1>MMFineReason</h1>
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  <p><strong>Closing the Multimodal Reasoning Gap via Open Data-Centric Methods</strong></p>
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  </figure>
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  ---
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- This repository provides **MMFineReason-4B**; detailed dataset information is available at https://huggingface.co/datasets/OpenDataArena/MMFineReason-1.8M.
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  ## 📖 Overview
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  ---
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+ base_model:
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+ - Qwen/Qwen3-VL-4B-Instruct
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  datasets:
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  - OpenDataArena/MMFineReason-1.8M
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  language:
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  - en
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+ license: apache-2.0
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+ pipeline_tag: image-text-to-text
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+ library_name: transformers
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  ---
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+
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  <div align="center">
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  <h1>MMFineReason</h1>
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  <p><strong>Closing the Multimodal Reasoning Gap via Open Data-Centric Methods</strong></p>
 
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  </figure>
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  ---
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+ This repository provides **MMFineReason-4B**, introduced in the paper [MMFineReason: Closing the Multimodal Reasoning Gap via Open Data-Centric Methods](https://huggingface.co/papers/2601.21821). Detailed dataset information is available at https://huggingface.co/datasets/OpenDataArena/MMFineReason-1.8M.
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  ## 📖 Overview
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