umd-zhou-lab
/

AudioRubrics

@@ -17,12 +17,12 @@ tags:
 The model from **Reinforcement Learning with Evolving Rubrics as Rewards for Audio Reasoning**: Qwen2.5-Omni-7B post-trained with GRPO using self-evolving, audio-grounded rubric rewards and an overthinking penalty.
 - Code: https://github.com/Yu-Fangxu/AudioRubrics
-- Rubric dataset: https://huggingface.co/datasets/ParadiseYu/AVQA-Audio-Rubrics
 This is the full merged checkpoint (thinker merged back into the complete Omni model) and can be served directly with vLLM:
 ```bash
-vllm serve ParadiseYu/AudioRubrics --served-model-name omni --trust-remote-code \
   --max-model-len 8192 --limit-mm-per-prompt '{"audio":1}'
 ```

 The model from **Reinforcement Learning with Evolving Rubrics as Rewards for Audio Reasoning**: Qwen2.5-Omni-7B post-trained with GRPO using self-evolving, audio-grounded rubric rewards and an overthinking penalty.
 - Code: https://github.com/Yu-Fangxu/AudioRubrics
+- Rubric dataset: https://huggingface.co/datasets/umd-zhou-lab/AVQA-Audio-Rubrics
 This is the full merged checkpoint (thinker merged back into the complete Omni model) and can be served directly with vLLM:
 ```bash
+vllm serve umd-zhou-lab/AudioRubrics --served-model-name omni --trust-remote-code \
   --max-model-len 8192 --limit-mm-per-prompt '{"audio":1}'
 ```