Firworks/Step-Audio-R1-nvfp4
217
1from typing import Optional, Union2 3from transformers import Qwen2Config4from transformers.configuration_utils import PretrainedConfig5 6 7class StepAudio2EncoderConfig(PretrainedConfig):8 model_type = "step_audio_2_encoder"9 10 def __init__(11 self,12 n_mels=128,13 n_audio_ctx=1500,14 n_audio_state=512,15 n_audio_head=8,16 n_audio_layer=6,17 llm_dim=4096,18 kernel_size=3,19 adapter_stride=2,20 **kwargs,21 ):22 self.n_mels = n_mels23 self.n_audio_ctx = n_audio_ctx24 self.n_audio_state = n_audio_state25 self.n_audio_head = n_audio_head26 self.n_audio_layer = n_audio_layer27 self.llm_dim = llm_dim28 self.kernel_size = kernel_size29 self.adapter_stride = adapter_stride30 super().__init__(**kwargs)31 32class StepAudio2TextConfig(PretrainedConfig):33 model_type = "step_audio_2_text"34 35 def __init__(36 self,37 vocab_size=64012,38 hidden_size=4096,39 intermediate_size=11008,40 num_hidden_layers=48,41 num_attention_heads=32,42 num_attention_groups=4,43 num_key_value_heads=4,44 hidden_act="silu",45 max_position_embeddings=8192,46 initializer_range=0.02,47 rms_norm_eps=1e-6,48 rope_theta=1000000.0,49 rope_scaling=None,50 eos_token_id=None,51 **kwargs52 ):53 54 if eos_token_id is not None:55 if isinstance(eos_token_id, list):56 eos_token_id = list(set([151643, 151645, 151665] + eos_token_id))57 else:58 eos_token_id = [151643, 151645, 151665, eos_token_id]59 else:60 eos_token_id = [151643, 151645, 151665]61 62 super().__init__(63 eos_token_id=eos_token_id,64 **kwargs)65 66 self.vocab_size = vocab_size67 self.hidden_size = hidden_size68 self.intermediate_size = intermediate_size69 self.num_hidden_layers = num_hidden_layers70 self.num_attention_heads = num_attention_heads71 self.num_attention_groups = num_attention_groups72 self.num_key_value_heads = num_key_value_heads73 assert self.num_attention_groups == self.num_key_value_heads, "num_attention_groups must be equal to num_key_value_heads"74 self.hidden_act = hidden_act75 self.max_position_embeddings = max_position_embeddings76 self.initializer_range = initializer_range77 self.rms_norm_eps = rms_norm_eps78 self.rope_theta = rope_theta79 self.rope_scaling = rope_scaling80 81 self.text_config = Qwen2Config(82 vocab_size=vocab_size,83 hidden_size=hidden_size,84 intermediate_size=intermediate_size,85 num_hidden_layers=num_hidden_layers,86 num_attention_heads=num_attention_heads,87 num_key_value_heads=num_key_value_heads,88 hidden_act=hidden_act,89 max_position_embeddings=max_position_embeddings,90 initializer_range=initializer_range,91 rms_norm_eps=rms_norm_eps,92 rope_theta=rope_theta,93 rope_scaling=rope_scaling,94 architectures=["Qwen2ForCausalLM"],95 torch_dtype=getattr(self, "torch_dtype", "bfloat16"),96 )97 98class StepAudio2Config(PretrainedConfig):99 model_type = "step_audio_2"100 architectures = ["StepAudio2ForCausalLM"]101 102 def __init__(103 self,104 audio_encoder_config :Optional[Union[dict, StepAudio2EncoderConfig]] = None,105 text_config: Optional[Union[dict, StepAudio2TextConfig]] = None,106 use_sliding_window: bool = False,107 sliding_window: Optional[int] = 2048,108 max_window_layers: Optional[int] = None,109 **kwargs110 ):111 kwargs.setdefault("use_sliding_window", use_sliding_window)112 kwargs.setdefault("sliding_window", sliding_window)113 if max_window_layers is None:114 max_window_layers = kwargs.get("num_hidden_layers", None)115 kwargs.setdefault("max_window_layers", max_window_layers)116 super().__init__(**kwargs)117 118 if text_config is None:119 text_config = StepAudio2TextConfig().text_config120 elif isinstance(text_config, dict):121 text_config = StepAudio2TextConfig(**text_config).text_config122 123 self.text_config = text_config124 125 if audio_encoder_config is None:126 self.audio_encoder_config = StepAudio2EncoderConfig()127 elif isinstance(audio_encoder_config, dict):128 self.audio_encoder_config = StepAudio2EncoderConfig(**audio_encoder_config)129 