configuration_moss_tts.py
| 1 | # coding=utf-8 |
| 2 | # Copyright 2026 OpenMOSS and the HuggingFace Inc. team. All rights reserved. |
| 3 | # |
| 4 | # Licensed under the Apache License, Version 2.0 (the "License"); |
| 5 | # you may not use this file except in compliance with the License. |
| 6 | # You may obtain a copy of the License at |
| 7 | # |
| 8 | # http://www.apache.org/licenses/LICENSE-2.0 |
| 9 | # |
| 10 | # Unless required by applicable law or agreed to in writing, software |
| 11 | # distributed under the License is distributed on an "AS IS" BASIS, |
| 12 | # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. |
| 13 | # See the License for the specific language governing permissions and |
| 14 | # limitations under the License. |
| 15 | """ MossTTSDelay model configuration """ |
| 16 | |
| 17 | from typing import Optional, Union |
| 18 | from transformers.configuration_utils import PretrainedConfig |
| 19 | from transformers.utils import logging |
| 20 | from transformers.models.qwen3 import Qwen3Config |
| 21 | |
| 22 | logger = logging.get_logger(__name__) |
| 23 | |
| 24 | |
| 25 | class MossTTSDelayConfig(PretrainedConfig): |
| 26 | r""" |
| 27 | This is the configuration class to store the configuration of a [`MossTTSDelayModel`]. It is used to instantiate an |
| 28 | MossTTSDelay model according to the specified arguments, defining the model architecture. Instantiating a configuration |
| 29 | with the defaults will yield a similar configuration to that of the MossTTSDelay [MossTTSDelay-8B](https://huggingface.co/OpenMOSS/mosstts-8b) architecture. |
| 30 | |
| 31 | Configuration objects inherit from [`PretrainedConfig`] and can be used to control the model outputs. Read the |
| 32 | documentation from [`PretrainedConfig`] for more information. |
| 33 | |
| 34 | Args: |
| 35 | language_config (`Union[Qwen3Config, dict]`, *optional*): |
| 36 | Configuration for the backbone language model (Qwen3). |
| 37 | initializer_range (`float`, *optional*, defaults to 0.02): |
| 38 | The standard deviation of the truncated_normal_initializer for initializing all weight matrices. |
| 39 | n_vq (`int`, *optional*, defaults to 32): |
| 40 | Number of additional VQ (Vector Quantization) heads/channels for audio. |
| 41 | Determines the number of codebooks used in the audio representation. |
| 42 | audio_vocab_size (`int`, *optional*, defaults to 1024): |
| 43 | Vocabulary size for the audio tokens (codebooks 1 to N). |
| 44 | audio_user_slot_token_id (`int`, *optional*, defaults to 151654): |
| 45 | The specific token ID used as a placeholder/slot for user-side audio inputs in the prompt. |
| 46 | audio_assistant_gen_slot_token_id (`int`, *optional*, defaults to 151656): |
| 47 | The specific token ID representing the generation slot for the assistant's audio output. |
| 48 | Acting as the trigger for the TTS generation process. |
| 49 | audio_assistant_delay_slot_token_id (`int`, *optional*, defaults to 151662): |
| 50 | The token ID used in the 'Delay Pattern' paradigm to represent the delayed/offset positions |
| 51 | between different VQ channels. |
| 52 | audio_start_token_id (`int`, *optional*, defaults to 151652): |
| 53 | Special token ID used to denote the start of an audio sequence in the stream. |
| 54 | audio_end_token_id (`int`, *optional*, defaults to 151653): |
| 55 | Special token ID used to denote the end of an audio sequence (EOS for audio). |
| 56 | audio_pad_code (`int`, *optional*, defaults to 1024): |
| 57 | The padding value used within the audio VQ codebooks. Typically equals `audio_vocab_size`. |
| 58 | """ |
| 59 | model_type = "moss_tts_delay" |
| 60 | keys_to_ignore_at_inference = ["past_key_values"] |
| 61 | |
| 62 | def __init__( |
| 63 | self, |
| 64 | language_config: Optional[Union[Qwen3Config, dict]] = None, |
| 65 | initializer_range: float = 0.02, |
| 66 | n_vq: int = 32, |
| 67 | pad_token_id: int = 151643, |
| 68 | im_start_token_id: int = 151644, |
| 69 | im_end_token_id: int = 151645, |
| 70 | audio_vocab_size: int = 1024, |
| 71 | audio_user_slot_token_id: int = 151654, |
| 72 | audio_assistant_gen_slot_token_id: int = 151656, |
| 73 | audio_assistant_delay_slot_token_id: int = 151662, |
| 74 | audio_start_token_id: int = 151652, |
| 75 | audio_end_token_id: int = 151653, |
| 76 | audio_pad_code: int = 1024, |
| 77 | sampling_rate: int = 24000, |
| 78 | **kwargs, |
| 79 | ): |
| 80 | if isinstance(language_config, dict): |
| 81 | self.language_config = Qwen3Config(**language_config) |
| 82 | elif language_config is None: |
| 83 | self.language_config = Qwen3Config() |
| 84 | else: |
| 85 | self.language_config = language_config |
| 86 | |
| 87 | self.initializer_range = initializer_range |
| 88 | self.n_vq = n_vq |
| 89 | self.audio_vocab_size = audio_vocab_size |
| 90 | self.audio_user_slot_token_id = audio_user_slot_token_id |
| 91 | self.audio_assistant_gen_slot_token_id = audio_assistant_gen_slot_token_id |
| 92 | self.audio_assistant_delay_slot_token_id = audio_assistant_delay_slot_token_id |
| 93 | self.audio_start_token_id = audio_start_token_id |
| 94 | self.audio_end_token_id = audio_end_token_id |
| 95 | self.audio_pad_code = audio_pad_code |
| 96 | self.sampling_rate = sampling_rate |
| 97 | |
| 98 | self.hidden_size = self.language_config.hidden_size |
| 99 | self.vocab_size = self.language_config.vocab_size |
| 100 | self.im_start_token_id = self.language_config |
| 101 | self.pad_token_id = pad_token_id |
| 102 | self.im_start_token_id = im_start_token_id |
| 103 | self.im_end_token_id = im_end_token_id |
| 104 | |
| 105 | |
| 106 | super().__init__(**kwargs) |
| 107 | |
| 108 | def to_dict(self): |
| 109 | output = super().to_dict() |
| 110 | if hasattr(self.language_config, "to_dict"): |
| 111 | output["language_config"] = self.language_config.to_dict() |
| 112 | else: |
| 113 | output["language_config"] = self.language_config |
| 114 | return output |
| 115 | |