# Copyright 2026 OpenMOSS and the HuggingFace Inc. team. All rights reserved. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, software # distributed under the License is distributed on an "AS IS" BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. # See the License for the specific language governing permissions and # limitations under the License. """MossTTSRealtimeModel configuration.""" from __future__ import annotations from typing import Any from transformers.configuration_utils import PretrainedConfig from transformers.models.qwen3 import Qwen3Config def _ensure_config(cfg: Any, cls: type[PretrainedConfig]) -> PretrainedConfig: if isinstance(cfg, cls): return cfg if cfg is None: return cls() if isinstance(cfg, dict): return cls(**cfg) raise TypeError(f"Unsupported config type for {cls.__name__}: {type(cfg)}") class MossTTSRealtimeLocalTransformerConfig(PretrainedConfig): model_type = "moss_tts_realtime_local_transformer" def __init__( self, head_dim: int = 128, use_cache: bool = True, hidden_size: int = 2048, rms_norm_eps: float = 1e-6, num_hidden_layers: int = 4, intermediate_size: int = 6144, num_attention_heads: int = 16, initializer_range: float = 0.02, attention_bias: bool = False, attention_dropout: float = 0.0, max_position_embeddings: int = 33, num_key_value_heads: int = 8, hidden_act: str = "silu", rope_theta: int = 1000000, rope_type: str = "linear", pad_token_id: int = 1024, rope_parameters: dict | None = None, **kwargs, ): super().__init__(**kwargs) self.head_dim = head_dim self.hidden_size = hidden_size self.intermediate_size = intermediate_size self.num_hidden_layers = num_hidden_layers self.num_attention_heads = num_attention_heads self.initializer_range = initializer_range self.rms_norm_eps = rms_norm_eps self.use_cache = use_cache self.hidden_act = hidden_act self.rope_theta = rope_theta self.rope_type = rope_type if rope_parameters is None: rope_parameters = {"rope_type": rope_type, "rope_theta": rope_theta, "factor": 1.0} self.rope_parameters = rope_parameters self.attention_bias = attention_bias self.attention_dropout = attention_dropout self.num_key_value_heads = num_key_value_heads self.max_position_embeddings = max_position_embeddings self.pad_token_id = pad_token_id self.audio_pad_token = 1024 self.audio_vocab_size = 1027 self.rvq = 16 class MossTTSRealtimeConfig(PretrainedConfig): model_type = "moss_tts_realtime" def __init__( self, language_config: Qwen3Config | dict | None = None, local_config: MossTTSRealtimeLocalTransformerConfig | dict | None = None, rvq: int = 16, audio_pad_token: int = 1024, audio_vocab_size: int = 1027, reference_audio_pad: int = 151654, text_pad: int = 151655, initializer_range: float = 0.02, **kwargs, ): super().__init__(**kwargs) self.rvq = rvq self.initializer_range = initializer_range self.audio_pad_token = audio_pad_token self.audio_vocab_size = audio_vocab_size self.reference_audio_pad = reference_audio_pad self.text_pad = text_pad self.language_config = _ensure_config(language_config, Qwen3Config) self.local_config = _ensure_config(local_config, MossTTSRealtimeLocalTransformerConfig) attn_impl = self._attn_implementation self.language_config._attn_implementation = attn_impl self.local_config._attn_implementation = attn_impl __all__ = ["MossTTSRealtimeConfig", "MossTTSRealtimeLocalTransformerConfig"]