Delete configuration_HelpingAI.py

configuration_HelpingAI.py

@@ -1,60 +0,0 @@
-""" HelpingAI model configuration"""
-
-from transformers import PretrainedConfig
-from transformers.utils import logging
-
-
-logger = logging.get_logger(__name__)
-
-class HelpingAIConfig(PretrainedConfig):
-    keys_to_ignore_at_inference = ["past_key_values"]
-    model_type = "HelpingAI"
-    def __init__(
-        self,
-        vocab_size=50304,
-        hidden_size=2560,
-        intermediate_size=6912,
-        num_hidden_layers=32,
-        num_attention_heads=32,
-        num_key_value_heads=32,
-        head_dim=256,
-        hidden_act="silu",
-        max_position_embeddings=4096,
-        initializer_range=0.02,
-        rms_norm_eps=1e-6,
-        use_cache=True,
-        hidden_activation=None,
-        rope_theta=10000,
-        rope_pct=0.25,
-        attention_bias=False,
-        attention_dropout=0.0,
-        num_experts_per_tok=2,
-        num_local_experts=8,
-        router_aux_loss_coef=0.02,
-        output_router_logits=False,
-        norm_eps=1.0e-5,
-        **kwargs,
-    ):
-        self.vocab_size = vocab_size
-        self.max_position_embeddings = max_position_embeddings        
-        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.head_dim = head_dim
-        self.hidden_act = hidden_act
-        self.hidden_activation = hidden_activation
-        self.num_key_value_heads = num_key_value_heads
-        self.initializer_range = initializer_range
-        self.rms_norm_eps = rms_norm_eps
-        self.use_cache = use_cache
-        self.rope_theta = rope_theta
-        self.attention_bias = attention_bias 
-        self.attention_dropout = attention_dropout
-        self.num_experts_per_tok = num_experts_per_tok
-        self.num_local_experts = num_local_experts
-        self.router_aux_loss_coef = router_aux_loss_coef
-        self.output_router_logits = output_router_logits
-        self.rope_pct = rope_pct
-        self.norm_eps = norm_eps
-        super().__init__(**kwargs)