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Model Details
Model Provider
Zixchen
Model Tree
Qwen/Qwen3-Omni-30B-A3B-Instruct
Input Modalities
Output Modalities
Supported Functionality
adapter_config.json: PEFT LoRA configuration.adapter_model.safetensors: FineAudio-Judge LoRA adapter weights.The evaluation scripts are provided in the FineAudio-Judge code repository. They use ms-swift's vLLM inference engine to load Qwen3-Omni-30B-A3B-Instruct together with the released LoRA adapter.
Clone the repository and enter the FineAudio-Judge directory:
bash
git clone https://github.com/QwenAudio/FunResearch.gitcd FunResearch/FineAudio-JudgeFollow the setup instructions in the code repository's README to install
the project and configure the inference environment. Run the evaluation
commands below from the FunResearch/FineAudio-Judge/ directory.
Replace /path/to/benchmark with the downloaded benchmark repository
root and /path/to/adapter with the directory containing the released
adapter files.
Each audio–rubric question pair is evaluated independently.
bash
python -m judge.cli.reproduce_rubric_qa \ --dataset-root /path/to/benchmark \ --model Qwen/Qwen3-Omni-30B-A3B-Instruct \ --adapter /path/to/adapter \ --output outputs/rubric_qa.jsonlRubrics are evaluated jointly for each candidate audio, and the proportion of yes predictions forms its prompt–audio consistency score.
bash
python -m judge.cli.reproduce_preference \ --dataset-root /path/to/benchmark \ --model Qwen/Qwen3-Omni-30B-A3B-Instruct \ --adapter /path/to/adapter \ --output outputs/preference.jsonlThe FineAudio-Judge LoRA adapter is released under the Apache License 2.0. See LICENSE for details.
The adapter is fine-tuned from Qwen3-Omni-30B-A3B-Instruct, which is also released under the Apache License 2.0. The base model weights are not included in this repository.
Base model copyright: Copyright 2025 Alibaba Cloud.
git clone https://github.com/QwenAudio/FunResearch.gitcd FunResearch/FineAudio-Judgepython -m judge.cli.reproduce_rubric_qa \ --dataset-root /path/to/benchmark \ --model Qwen/Qwen3-Omni-30B-A3B-Instruct \ --adapter /path/to/adapter \ --output outputs/rubric_qa.jsonlpython -m judge.cli.reproduce_preference \ --dataset-root /path/to/benchmark \ --model Qwen/Qwen3-Omni-30B-A3B-Instruct \ --adapter /path/to/adapter \ --output outputs/preference.jsonl