├── .gitignore ├── .vscode └── launch.json ├── 22k_to_16k.sh ├── LICENSE ├── Llama-3.2-1B-Instruct └── config.json ├── README.md ├── data.json ├── images └── model.png ├── make_data.py ├── omni_speech ├── arguments.py ├── constants.py ├── conversation.py ├── datasets │ ├── __init__.py │ └── preprocess.py ├── infer │ ├── convert_jsonl_to_txt.py │ ├── gen_answer_data │ │ ├── answer.json │ │ ├── question.json │ │ └── wavs │ ├── infer.py │ ├── run.sh │ └── unit2wav.sh ├── model │ ├── .ipynb_checkpoints │ │ └── omni_speech_arch-checkpoint.py │ ├── __init__.py │ ├── builder.py │ ├── language_model │ │ ├── .ipynb_checkpoints │ │ │ └── omni_speech_llama-checkpoint.py │ │ ├── omni_speech2s_llama.py │ │ └── omni_speech_llama.py │ ├── omni_speech_arch.py │ ├── speech_encoder │ │ ├── builder.py │ │ └── speech_encoder.py │ ├── speech_generator │ │ ├── builder.py │ │ ├── generation.py │ │ └── speech_generator.py │ └── speech_projector │ │ ├── builder.py │ │ └── speech_projector.py ├── serve │ ├── __init__.py │ ├── controller.py │ ├── examples │ │ ├── helpful_base_1.wav │ │ ├── helpful_base_2.wav │ │ ├── helpful_base_3.wav │ │ ├── helpful_base_4.wav │ │ ├── helpful_base_5.wav │ │ ├── vicuna_1.wav │ │ ├── vicuna_2.wav │ │ ├── vicuna_3.wav │ │ ├── vicuna_4.wav │ │ └── vicuna_5.wav │ ├── gradio_web_server.py │ └── model_worker.py ├── train │ ├── run.sh │ ├── stage1.py │ └── stage2.py └── utils.py ├── pyproject.toml ├── r_100.txt ├── requirements.txt └── wavs ├── sft_1.wav ├── sft_10.wav ├── sft_100.wav ├── sft_11.wav ├── sft_12.wav ├── sft_13.wav ├── sft_14.wav ├── sft_15.wav ├── sft_16.wav ├── sft_17.wav ├── sft_18.wav ├── sft_19.wav ├── sft_2.wav ├── sft_20.wav ├── sft_21.wav ├── sft_22.wav ├── sft_23.wav ├── sft_24.wav ├── sft_25.wav ├── sft_26.wav ├── sft_27.wav ├── sft_28.wav ├── sft_29.wav ├── sft_3.wav ├── sft_30.wav ├── sft_31.wav ├── sft_32.wav ├── sft_33.wav ├── sft_34.wav ├── sft_35.wav ├── sft_36.wav ├── sft_37.wav ├── sft_38.wav ├── sft_39.wav ├── sft_4.wav ├── 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