Delete configuration_fastalm.py

configuration_fastalm.py

@@ -1,61 +0,0 @@
-from transformers import PretrainedConfig, AutoConfig
-
-class FastALMSpeechEncoderConfig(PretrainedConfig):
-    model_type = "fastalm_speech_encoder"
-    def __init__(
-        self,
-        n_mels=128,
-        n_ctx=1500,
-        n_state=1280,
-        n_head=20,
-        n_layer=32,
-        stage_tokens=[80, 80, 80],
-        compression_size=50,
-        **kwargs
-    ):
-        super().__init__(**kwargs)
-        self.n_mels = n_mels
-        self.n_ctx = n_ctx
-        self.n_state = n_state
-        self.n_head = n_head
-        self.n_layer = n_layer
-        self.stage_tokens = stage_tokens
-        self.compression_size = compression_size
-
-class FastALMConfig(PretrainedConfig):
-    model_type = "fastalm"
-    def __init__(
-        self,
-        encoder_config=None,
-        llm_config=None,
-        lora_r=16,
-        lora_a=64,
-        llm_modules=None,
-        low_resource=False,
-        **kwargs
-    ):
-        if llm_modules is None:
-            llm_modules = ["q_proj","k_proj","v_proj","o_proj","gate_proj","up_proj","down_proj"]
-        
-        if llm_config is None:
-            llm_config = AutoConfig.from_pretrained("Qwen/Qwen3-4B")
-        elif isinstance(llm_config, dict):
-            if "_name_or_path" in llm_config:
-                llm_config = AutoConfig.from_pretrained(llm_config["_name_or_path"], **llm_config)
-            else:
-                llm_config = AutoConfig.from_dict(llm_config)
-        
-        # Encoder config 처리
-        if encoder_config is None:
-            encoder_config = FastALMSpeechEncoderConfig()
-        elif isinstance(encoder_config, dict):
-            encoder_config = FastALMSpeechEncoderConfig(**encoder_config)
-
-        self.llm_config = llm_config
-        self.encoder_config = encoder_config
-        self.lora_r = lora_r
-        self.lora_a = lora_a
-        self.llm_modules = llm_modules
-        self.low_resource = low_resource
-
-        super().__init__(**kwargs)