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.
This is the full merged checkpoint (thinker merged back into the complete Omni model) and can be served directly with vLLM:
1vllm serve umd-zhou-lab/AudioRubrics --served-model-name omni --trust-remote-code \
2 --max-model-len 8192 --limit-mm-per-prompt '{"audio":1}'
See the
GitHub repository for training and evaluation instructions.